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[GH-ISSUE #4080] crash loading llama-3-chinese-8b-instruct model #2536

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opened 2026-04-12 12:51:41 -05:00 by GiteaMirror · 9 comments
GiteaMirror commented 2026-04-12 12:51:41 -05:00
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Originally created by @jiangweiatgithub on GitHub (May 1, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/4080

What is the issue?

When trying run a model created from a GGUF model, the captioned error happens. The model can be downloade from: https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct/summary

OS

Windows

GPU

Nvidia

CPU

Intel

Ollama version

0.132

Originally created by @jiangweiatgithub on GitHub (May 1, 2024). Original GitHub issue: https://github.com/ollama/ollama/issues/4080 ### What is the issue? When trying run a model created from a GGUF model, the captioned error happens. The model can be downloade from: https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct/summary ### OS Windows ### GPU Nvidia ### CPU Intel ### Ollama version 0.132
GiteaMirror added the bugmodel labels 2026-04-12 12:51:41 -05:00
GiteaMirror commented 2026-04-12 12:51:43 -05:00
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@jiangweiatgithub commented on GitHub (May 1, 2024):

Here is part of the server log that is directly related to this issue:
[GIN] 2024/05/01 - 20:44:53 | 200 | 0s | 127.0.0.1 | HEAD "/"
[GIN] 2024/05/01 - 20:44:53 | 200 | 565.5µs | 127.0.0.1 | POST "/api/show"
[GIN] 2024/05/01 - 20:44:53 | 200 | 211.1µs | 127.0.0.1 | POST "/api/show"
time=2024-05-01T20:44:56.483+08:00 level=INFO source=gpu.go:121 msg="Detecting GPU type"
time=2024-05-01T20:44:56.483+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_.dll"
time=2024-05-01T20:44:56.512+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_100.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_101.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.2\bin\cudart64_12.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\cudart64_110.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_100.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_101.dll C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\cudart64_65.dll]"
time=2024-05-01T20:44:56.513+08:00 level=INFO source=gpu.go:126 msg="Nvidia GPU detected via cudart"
time=2024-05-01T20:44:56.513+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2"
time=2024-05-01T20:44:56.622+08:00 level=INFO source=gpu.go:202 msg="[cudart] CUDART CUDA Compute Capability detected: 7.5"
time=2024-05-01T20:44:56.649+08:00 level=INFO source=gpu.go:121 msg="Detecting GPU type"
time=2024-05-01T20:44:56.650+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_.dll"
time=2024-05-01T20:44:56.679+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_100.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_101.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.2\bin\cudart64_12.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\cudart64_110.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_100.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_101.dll C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\cudart64_65.dll]"
time=2024-05-01T20:44:56.680+08:00 level=INFO source=gpu.go:126 msg="Nvidia GPU detected via cudart"
time=2024-05-01T20:44:56.680+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2"
time=2024-05-01T20:44:56.785+08:00 level=INFO source=gpu.go:202 msg="[cudart] CUDART CUDA Compute Capability detected: 7.5"
time=2024-05-01T20:44:56.815+08:00 level=INFO source=server.go:127 msg="offload to gpu" reallayers=33 layers=33 required="5033.0 MiB" used="5033.0 MiB" available="15279.0 MiB" kv="256.0 MiB" fulloffload="164.0 MiB" partialoffload="677.5 MiB"
time=2024-05-01T20:44:56.815+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2"
time=2024-05-01T20:44:56.824+08:00 level=INFO source=server.go:264 msg="starting llama server" cmd="C:\Users\polyt\AppData\Local\Temp\ollama1755869092\runners\cuda_v11.3\ollama_llama_server.exe --model C:\Users\polyt\.ollama\models\blobs\sha256-57a2dd8b97f3231f002b0013b027fd06102c82847bceb6cd6629cfb1e012cd82 --ctx-size 2048 --batch-size 512 --embedding --log-disable --n-gpu-layers 33 --port 13501"
time=2024-05-01T20:44:56.849+08:00 level=INFO source=server.go:389 msg="waiting for llama runner to start responding"
{"function":"server_params_parse","level":"INFO","line":2603,"msg":"logging to file is disabled.","tid":"37608","timestamp":1714567497}
{"build":2679,"commit":"7593639","function":"wmain","level":"INFO","line":2820,"msg":"build info","tid":"37608","timestamp":1714567497}
{"function":"wmain","level":"INFO","line":2827,"msg":"system info","n_threads":8,"n_threads_batch":-1,"system_info":"AVX = 1 | AVX_VNNI = 0 | AVX2 = 0 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 0 | NEON = 0 | ARM_FMA = 0 | F16C = 0 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | SSSE3 = 0 | VSX = 0 | MATMUL_INT8 = 0 | ","tid":"37608","timestamp":1714567497,"total_threads":16}
llama_model_loader: loaded meta data with 21 key-value pairs and 291 tensors from C:\Users\polyt.ollama\models\blobs\sha256-57a2dd8b97f3231f002b0013b027fd06102c82847bceb6cd6629cfb1e012cd82 (version GGUF V3 (latest))
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv 0: general.architecture str = llama
llama_model_loader: - kv 1: general.name str = llama-3-chinese
llama_model_loader: - kv 2: llama.block_count u32 = 32
llama_model_loader: - kv 3: llama.context_length u32 = 8192
llama_model_loader: - kv 4: llama.embedding_length u32 = 4096
llama_model_loader: - kv 5: llama.feed_forward_length u32 = 14336
llama_model_loader: - kv 6: llama.attention.head_count u32 = 32
llama_model_loader: - kv 7: llama.attention.head_count_kv u32 = 8
llama_model_loader: - kv 8: llama.rope.freq_base f32 = 500000.000000
llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 = 0.000010
llama_model_loader: - kv 10: general.file_type u32 = 2
llama_model_loader: - kv 11: llama.vocab_size u32 = 128256
llama_model_loader: - kv 12: llama.rope.dimension_count u32 = 128
llama_model_loader: - kv 13: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 14: tokenizer.ggml.pre str = llama-bpe
llama_model_loader: - kv 15: tokenizer.ggml.tokens arr[str,128256] = ["!", """, "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 16: tokenizer.ggml.token_type arr[i32,128256] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 17: tokenizer.ggml.merges arr[str,280147] = ["Ġ Ġ", "Ġ ĠĠĠ", "ĠĠ ĠĠ", "...
llama_model_loader: - kv 18: tokenizer.ggml.bos_token_id u32 = 128000
llama_model_loader: - kv 19: tokenizer.ggml.eos_token_id u32 = 128001
llama_model_loader: - kv 20: general.quantization_version u32 = 2
llama_model_loader: - type f32: 65 tensors
llama_model_loader: - type q4_0: 225 tensors
llama_model_loader: - type q6_K: 1 tensors
llm_load_vocab: special tokens definition check successful ( 256/128256 ).
llm_load_print_meta: format = GGUF V3 (latest)
llm_load_print_meta: arch = llama
llm_load_print_meta: vocab type = BPE
llm_load_print_meta: n_vocab = 128256
llm_load_print_meta: n_merges = 280147
llm_load_print_meta: n_ctx_train = 8192
llm_load_print_meta: n_embd = 4096
llm_load_print_meta: n_head = 32
llm_load_print_meta: n_head_kv = 8
llm_load_print_meta: n_layer = 32
llm_load_print_meta: n_rot = 128
llm_load_print_meta: n_embd_head_k = 128
llm_load_print_meta: n_embd_head_v = 128
llm_load_print_meta: n_gqa = 4
llm_load_print_meta: n_embd_k_gqa = 1024
llm_load_print_meta: n_embd_v_gqa = 1024
llm_load_print_meta: f_norm_eps = 0.0e+00
llm_load_print_meta: f_norm_rms_eps = 1.0e-05
llm_load_print_meta: f_clamp_kqv = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
llm_load_print_meta: f_logit_scale = 0.0e+00
llm_load_print_meta: n_ff = 14336
llm_load_print_meta: n_expert = 0
llm_load_print_meta: n_expert_used = 0
llm_load_print_meta: causal attn = 1
llm_load_print_meta: pooling type = 0
llm_load_print_meta: rope type = 0
llm_load_print_meta: rope scaling = linear
llm_load_print_meta: freq_base_train = 500000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx = 8192
llm_load_print_meta: rope_finetuned = unknown
llm_load_print_meta: ssm_d_conv = 0
llm_load_print_meta: ssm_d_inner = 0
llm_load_print_meta: ssm_d_state = 0
llm_load_print_meta: ssm_dt_rank = 0
llm_load_print_meta: model type = 7B
llm_load_print_meta: model ftype = Q4_0
llm_load_print_meta: model params = 8.03 B
llm_load_print_meta: model size = 4.33 GiB (4.64 BPW)
llm_load_print_meta: general.name = llama-3-chinese
llm_load_print_meta: BOS token = 128000 '<|begin_of_text|>'
llm_load_print_meta: EOS token = 128001 '<|end_of_text|>'
llm_load_print_meta: LF token = 128 'Ä'
ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
ggml_cuda_init: CUDA_USE_TENSOR_CORES: yes
ggml_cuda_init: found 1 CUDA devices:
Device 0: Quadro RTX 5000, compute capability 7.5, VMM: yes
llm_load_tensors: ggml ctx size = 0.22 MiB
llm_load_tensors: offloading 32 repeating layers to GPU
llm_load_tensors: offloading non-repeating layers to GPU
llm_load_tensors: offloaded 33/33 layers to GPU
llm_load_tensors: CPU buffer size = 281.81 MiB
llm_load_tensors: CUDA0 buffer size = 4155.99 MiB
.time=2024-05-01T20:44:58.904+08:00 level=ERROR source=routes.go:120 msg="error loading llama server" error="llama runner process no longer running: 3221225477 "
[GIN] 2024/05/01 - 20:44:58 | 500 | 5.1448234s | 127.0.0.1 | POST "/api/chat"

<!-- gh-comment-id:2088415951 --> @jiangweiatgithub commented on GitHub (May 1, 2024): Here is part of the server log that is directly related to this issue: [GIN] 2024/05/01 - 20:44:53 | 200 | 0s | 127.0.0.1 | HEAD "/" [GIN] 2024/05/01 - 20:44:53 | 200 | 565.5µs | 127.0.0.1 | POST "/api/show" [GIN] 2024/05/01 - 20:44:53 | 200 | 211.1µs | 127.0.0.1 | POST "/api/show" time=2024-05-01T20:44:56.483+08:00 level=INFO source=gpu.go:121 msg="Detecting GPU type" time=2024-05-01T20:44:56.483+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_*.dll" time=2024-05-01T20:44:56.512+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\\Users\\polyt\\AppData\\Local\\Programs\\Ollama\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_100.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_101.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.7\\bin\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.2\\bin\\cudart64_12.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin\\cudart64_110.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_100.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_101.dll C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_65.dll]" time=2024-05-01T20:44:56.513+08:00 level=INFO source=gpu.go:126 msg="Nvidia GPU detected via cudart" time=2024-05-01T20:44:56.513+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2" time=2024-05-01T20:44:56.622+08:00 level=INFO source=gpu.go:202 msg="[cudart] CUDART CUDA Compute Capability detected: 7.5" time=2024-05-01T20:44:56.649+08:00 level=INFO source=gpu.go:121 msg="Detecting GPU type" time=2024-05-01T20:44:56.650+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_*.dll" time=2024-05-01T20:44:56.679+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\\Users\\polyt\\AppData\\Local\\Programs\\Ollama\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_100.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_101.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.7\\bin\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.2\\bin\\cudart64_12.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin\\cudart64_110.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_100.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_101.dll C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_65.dll]" time=2024-05-01T20:44:56.680+08:00 level=INFO source=gpu.go:126 msg="Nvidia GPU detected via cudart" time=2024-05-01T20:44:56.680+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2" time=2024-05-01T20:44:56.785+08:00 level=INFO source=gpu.go:202 msg="[cudart] CUDART CUDA Compute Capability detected: 7.5" time=2024-05-01T20:44:56.815+08:00 level=INFO source=server.go:127 msg="offload to gpu" reallayers=33 layers=33 required="5033.0 MiB" used="5033.0 MiB" available="15279.0 MiB" kv="256.0 MiB" fulloffload="164.0 MiB" partialoffload="677.5 MiB" time=2024-05-01T20:44:56.815+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2" time=2024-05-01T20:44:56.824+08:00 level=INFO source=server.go:264 msg="starting llama server" cmd="C:\\Users\\polyt\\AppData\\Local\\Temp\\ollama1755869092\\runners\\cuda_v11.3\\ollama_llama_server.exe --model C:\\Users\\polyt\\.ollama\\models\\blobs\\sha256-57a2dd8b97f3231f002b0013b027fd06102c82847bceb6cd6629cfb1e012cd82 --ctx-size 2048 --batch-size 512 --embedding --log-disable --n-gpu-layers 33 --port 13501" time=2024-05-01T20:44:56.849+08:00 level=INFO source=server.go:389 msg="waiting for llama runner to start responding" {"function":"server_params_parse","level":"INFO","line":2603,"msg":"logging to file is disabled.","tid":"37608","timestamp":1714567497} {"build":2679,"commit":"7593639","function":"wmain","level":"INFO","line":2820,"msg":"build info","tid":"37608","timestamp":1714567497} {"function":"wmain","level":"INFO","line":2827,"msg":"system info","n_threads":8,"n_threads_batch":-1,"system_info":"AVX = 1 | AVX_VNNI = 0 | AVX2 = 0 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 0 | NEON = 0 | ARM_FMA = 0 | F16C = 0 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | SSSE3 = 0 | VSX = 0 | MATMUL_INT8 = 0 | ","tid":"37608","timestamp":1714567497,"total_threads":16} llama_model_loader: loaded meta data with 21 key-value pairs and 291 tensors from C:\Users\polyt\.ollama\models\blobs\sha256-57a2dd8b97f3231f002b0013b027fd06102c82847bceb6cd6629cfb1e012cd82 (version GGUF V3 (latest)) llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output. llama_model_loader: - kv 0: general.architecture str = llama llama_model_loader: - kv 1: general.name str = llama-3-chinese llama_model_loader: - kv 2: llama.block_count u32 = 32 llama_model_loader: - kv 3: llama.context_length u32 = 8192 llama_model_loader: - kv 4: llama.embedding_length u32 = 4096 llama_model_loader: - kv 5: llama.feed_forward_length u32 = 14336 llama_model_loader: - kv 6: llama.attention.head_count u32 = 32 llama_model_loader: - kv 7: llama.attention.head_count_kv u32 = 8 llama_model_loader: - kv 8: llama.rope.freq_base f32 = 500000.000000 llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 = 0.000010 llama_model_loader: - kv 10: general.file_type u32 = 2 llama_model_loader: - kv 11: llama.vocab_size u32 = 128256 llama_model_loader: - kv 12: llama.rope.dimension_count u32 = 128 llama_model_loader: - kv 13: tokenizer.ggml.model str = gpt2 llama_model_loader: - kv 14: tokenizer.ggml.pre str = llama-bpe llama_model_loader: - kv 15: tokenizer.ggml.tokens arr[str,128256] = ["!", "\"", "#", "$", "%", "&", "'", ... llama_model_loader: - kv 16: tokenizer.ggml.token_type arr[i32,128256] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... llama_model_loader: - kv 17: tokenizer.ggml.merges arr[str,280147] = ["Ġ Ġ", "Ġ ĠĠĠ", "ĠĠ ĠĠ", "... llama_model_loader: - kv 18: tokenizer.ggml.bos_token_id u32 = 128000 llama_model_loader: - kv 19: tokenizer.ggml.eos_token_id u32 = 128001 llama_model_loader: - kv 20: general.quantization_version u32 = 2 llama_model_loader: - type f32: 65 tensors llama_model_loader: - type q4_0: 225 tensors llama_model_loader: - type q6_K: 1 tensors llm_load_vocab: special tokens definition check successful ( 256/128256 ). llm_load_print_meta: format = GGUF V3 (latest) llm_load_print_meta: arch = llama llm_load_print_meta: vocab type = BPE llm_load_print_meta: n_vocab = 128256 llm_load_print_meta: n_merges = 280147 llm_load_print_meta: n_ctx_train = 8192 llm_load_print_meta: n_embd = 4096 llm_load_print_meta: n_head = 32 llm_load_print_meta: n_head_kv = 8 llm_load_print_meta: n_layer = 32 llm_load_print_meta: n_rot = 128 llm_load_print_meta: n_embd_head_k = 128 llm_load_print_meta: n_embd_head_v = 128 llm_load_print_meta: n_gqa = 4 llm_load_print_meta: n_embd_k_gqa = 1024 llm_load_print_meta: n_embd_v_gqa = 1024 llm_load_print_meta: f_norm_eps = 0.0e+00 llm_load_print_meta: f_norm_rms_eps = 1.0e-05 llm_load_print_meta: f_clamp_kqv = 0.0e+00 llm_load_print_meta: f_max_alibi_bias = 0.0e+00 llm_load_print_meta: f_logit_scale = 0.0e+00 llm_load_print_meta: n_ff = 14336 llm_load_print_meta: n_expert = 0 llm_load_print_meta: n_expert_used = 0 llm_load_print_meta: causal attn = 1 llm_load_print_meta: pooling type = 0 llm_load_print_meta: rope type = 0 llm_load_print_meta: rope scaling = linear llm_load_print_meta: freq_base_train = 500000.0 llm_load_print_meta: freq_scale_train = 1 llm_load_print_meta: n_yarn_orig_ctx = 8192 llm_load_print_meta: rope_finetuned = unknown llm_load_print_meta: ssm_d_conv = 0 llm_load_print_meta: ssm_d_inner = 0 llm_load_print_meta: ssm_d_state = 0 llm_load_print_meta: ssm_dt_rank = 0 llm_load_print_meta: model type = 7B llm_load_print_meta: model ftype = Q4_0 llm_load_print_meta: model params = 8.03 B llm_load_print_meta: model size = 4.33 GiB (4.64 BPW) llm_load_print_meta: general.name = llama-3-chinese llm_load_print_meta: BOS token = 128000 '<|begin_of_text|>' llm_load_print_meta: EOS token = 128001 '<|end_of_text|>' llm_load_print_meta: LF token = 128 'Ä' ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no ggml_cuda_init: CUDA_USE_TENSOR_CORES: yes ggml_cuda_init: found 1 CUDA devices: Device 0: Quadro RTX 5000, compute capability 7.5, VMM: yes llm_load_tensors: ggml ctx size = 0.22 MiB llm_load_tensors: offloading 32 repeating layers to GPU llm_load_tensors: offloading non-repeating layers to GPU llm_load_tensors: offloaded 33/33 layers to GPU llm_load_tensors: CPU buffer size = 281.81 MiB llm_load_tensors: CUDA0 buffer size = 4155.99 MiB .time=2024-05-01T20:44:58.904+08:00 level=ERROR source=routes.go:120 msg="error loading llama server" error="llama runner process no longer running: 3221225477 " [GIN] 2024/05/01 - 20:44:58 | 500 | 5.1448234s | 127.0.0.1 | POST "/api/chat"
GiteaMirror commented 2026-04-12 12:51:43 -05:00
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@dhiltgen commented on GitHub (May 1, 2024):

Can you try running the server with $env:OLLAMA_DEBUG="1" to see if we can get a little more details around the time of the crash? It may also be helpful to try to force it to run on CPU and see if that changes behavior. ($env:OLLAMA_LLM_LIBRARY="cpu_avx2")

<!-- gh-comment-id:2089068541 --> @dhiltgen commented on GitHub (May 1, 2024): Can you try running the server with `$env:OLLAMA_DEBUG="1"` to see if we can get a little more details around the time of the crash? It may also be helpful to try to force it to run on CPU and see if that changes behavior. (`$env:OLLAMA_LLM_LIBRARY="cpu_avx2"`)
GiteaMirror commented 2026-04-12 12:51:44 -05:00
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@jiangweiatgithub commented on GitHub (May 2, 2024):

To be frank, I'm yet to find out how to use those two env variables!
FYI, when I run the same in a CPU only machine, I get the same error!

<!-- gh-comment-id:2089611029 --> @jiangweiatgithub commented on GitHub (May 2, 2024): To be frank, I'm yet to find out how to use those two env variables! FYI, when I run the same in a CPU only machine, I get the same error!
GiteaMirror commented 2026-04-12 12:51:45 -05:00
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@jiangweiatgithub commented on GitHub (May 2, 2024):

Here is the serve log from the cpu-only machine:
[GIN] 2024/05/02 - 13:31:01 | 200 | 0s | 127.0.0.1 | HEAD "/"
[GIN] 2024/05/02 - 13:31:01 | 200 | 15.0003ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2024/05/02 - 13:31:23 | 200 | 0s | 127.0.0.1 | HEAD "/"
[GIN] 2024/05/02 - 13:31:23 | 200 | 998.4µs | 127.0.0.1 | POST "/api/show"
[GIN] 2024/05/02 - 13:31:23 | 200 | 1.0009ms | 127.0.0.1 | POST "/api/show"
time=2024-05-02T13:31:26.077+08:00 level=INFO source=gpu.go:121 msg="Detecting GPU type"
time=2024-05-02T13:31:26.077+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_.dll"
time=2024-05-02T13:31:26.097+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\Users\jiangw\AppData\Local\Programs\Ollama\cudart64_110.dll]"
time=2024-05-02T13:31:26.098+08:00 level=INFO source=gpu.go:343 msg="Unable to load cudart CUDA management library C:\Users\jiangw\AppData\Local\Programs\Ollama\cudart64_110.dll: your nvidia driver is too old or missing, please upgrade to run ollama"
time=2024-05-02T13:31:26.098+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library nvml.dll"
time=2024-05-02T13:31:26.116+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: []"
time=2024-05-02T13:31:26.116+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2"
time=2024-05-02T13:31:26.117+08:00 level=INFO source=gpu.go:121 msg="Detecting GPU type"
time=2024-05-02T13:31:26.117+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_.dll"
time=2024-05-02T13:31:26.136+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\Users\jiangw\AppData\Local\Programs\Ollama\cudart64_110.dll]"
time=2024-05-02T13:31:26.137+08:00 level=INFO source=gpu.go:343 msg="Unable to load cudart CUDA management library C:\Users\jiangw\AppData\Local\Programs\Ollama\cudart64_110.dll: your nvidia driver is too old or missing, please upgrade to run ollama"
time=2024-05-02T13:31:26.137+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library nvml.dll"
time=2024-05-02T13:31:26.155+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: []"
time=2024-05-02T13:31:26.155+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2"
time=2024-05-02T13:31:26.157+08:00 level=INFO source=server.go:127 msg="offload to gpu" reallayers=0 layers=0 required="8025.3 MiB" used="677.5 MiB" available="0 B" kv="256.0 MiB" fulloffload="164.0 MiB" partialoffload="677.5 MiB"
time=2024-05-02T13:31:26.163+08:00 level=INFO source=server.go:264 msg="starting llama server" cmd="F:\TEMP2\2\ollama515740053\runners\cpu_avx2\ollama_llama_server.exe --model C:\Users\jiangw\.ollama\models\blobs\sha256-a6dbf5ed89ddec7bb5e74591d9e18e07e8fc3b4916b09451bff75c955cc2ed75 --ctx-size 2048 --batch-size 512 --embedding --log-disable --n-gpu-layers 0 --port 50921"
time=2024-05-02T13:31:26.167+08:00 level=INFO source=server.go:389 msg="waiting for llama runner to start responding"
{"function":"server_params_parse","level":"INFO","line":2603,"msg":"logging to file is disabled.","tid":"32680","timestamp":1714627886}
{"function":"server_params_parse","level":"WARN","line":2382,"msg":"Not compiled with GPU offload support, --n-gpu-layers option will be ignored. See main README.md for information on enabling GPU BLAS support","n_gpu_layers":-1,"tid":"32680","timestamp":1714627886}
{"build":2679,"commit":"7593639","function":"wmain","level":"INFO","line":2820,"msg":"build info","tid":"32680","timestamp":1714627886}
{"function":"wmain","level":"INFO","line":2827,"msg":"system info","n_threads":12,"n_threads_batch":-1,"system_info":"AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | SSSE3 = 0 | VSX = 0 | MATMUL_INT8 = 0 | ","tid":"32680","timestamp":1714627886,"total_threads":24}
llama_model_loader: loaded meta data with 21 key-value pairs and 291 tensors from C:\Users\jiangw.ollama\models\blobs\sha256-a6dbf5ed89ddec7bb5e74591d9e18e07e8fc3b4916b09451bff75c955cc2ed75 (version GGUF V3 (latest))
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv 0: general.architecture str = llama
llama_model_loader: - kv 1: general.name str = llama-3-chinese
llama_model_loader: - kv 2: llama.block_count u32 = 32
llama_model_loader: - kv 3: llama.context_length u32 = 8192
llama_model_loader: - kv 4: llama.embedding_length u32 = 4096
llama_model_loader: - kv 5: llama.feed_forward_length u32 = 14336
llama_model_loader: - kv 6: llama.attention.head_count u32 = 32
llama_model_loader: - kv 7: llama.attention.head_count_kv u32 = 8
llama_model_loader: - kv 8: llama.rope.freq_base f32 = 500000.000000
llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 = 0.000010
llama_model_loader: - kv 10: general.file_type u32 = 7
llama_model_loader: - kv 11: llama.vocab_size u32 = 128256
llama_model_loader: - kv 12: llama.rope.dimension_count u32 = 128
llama_model_loader: - kv 13: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 14: tokenizer.ggml.pre str = llama-bpe
llama_model_loader: - kv 15: tokenizer.ggml.tokens arr[str,128256] = ["!", """, "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 16: tokenizer.ggml.token_type arr[i32,128256] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 17: tokenizer.ggml.merges arr[str,280147] = ["Ġ Ġ", "Ġ ĠĠĠ", "ĠĠ ĠĠ", "...
llama_model_loader: - kv 18: tokenizer.ggml.bos_token_id u32 = 128000
llama_model_loader: - kv 19: tokenizer.ggml.eos_token_id u32 = 128001
llama_model_loader: - kv 20: general.quantization_version u32 = 2
llama_model_loader: - type f32: 65 tensors
llama_model_loader: - type q8_0: 226 tensors
llm_load_vocab: special tokens definition check successful ( 256/128256 ).
llm_load_print_meta: format = GGUF V3 (latest)
llm_load_print_meta: arch = llama
llm_load_print_meta: vocab type = BPE
llm_load_print_meta: n_vocab = 128256
llm_load_print_meta: n_merges = 280147
llm_load_print_meta: n_ctx_train = 8192
llm_load_print_meta: n_embd = 4096
llm_load_print_meta: n_head = 32
llm_load_print_meta: n_head_kv = 8
llm_load_print_meta: n_layer = 32
llm_load_print_meta: n_rot = 128
llm_load_print_meta: n_embd_head_k = 128
llm_load_print_meta: n_embd_head_v = 128
llm_load_print_meta: n_gqa = 4
llm_load_print_meta: n_embd_k_gqa = 1024
llm_load_print_meta: n_embd_v_gqa = 1024
llm_load_print_meta: f_norm_eps = 0.0e+00
llm_load_print_meta: f_norm_rms_eps = 1.0e-05
llm_load_print_meta: f_clamp_kqv = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
llm_load_print_meta: f_logit_scale = 0.0e+00
llm_load_print_meta: n_ff = 14336
llm_load_print_meta: n_expert = 0
llm_load_print_meta: n_expert_used = 0
llm_load_print_meta: causal attn = 1
llm_load_print_meta: pooling type = 0
llm_load_print_meta: rope type = 0
llm_load_print_meta: rope scaling = linear
llm_load_print_meta: freq_base_train = 500000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx = 8192
llm_load_print_meta: rope_finetuned = unknown
llm_load_print_meta: ssm_d_conv = 0
llm_load_print_meta: ssm_d_inner = 0
llm_load_print_meta: ssm_d_state = 0
llm_load_print_meta: ssm_dt_rank = 0
llm_load_print_meta: model type = 7B
llm_load_print_meta: model ftype = Q8_0
llm_load_print_meta: model params = 8.03 B
llm_load_print_meta: model size = 7.95 GiB (8.50 BPW)
llm_load_print_meta: general.name = llama-3-chinese
llm_load_print_meta: BOS token = 128000 '<|begin_of_text|>'
llm_load_print_meta: EOS token = 128001 '<|end_of_text|>'
llm_load_print_meta: LF token = 128 'Ä'
llm_load_tensors: ggml ctx size = 0.11 MiB
llm_load_tensors: CPU buffer size = 8137.64 MiB
.........................................................................................
llama_new_context_with_model: n_ctx = 2048
llama_new_context_with_model: n_batch = 512
llama_new_context_with_model: n_ubatch = 512
llama_new_context_with_model: freq_base = 500000.0
llama_new_context_with_model: freq_scale = 1
llama_kv_cache_init: CPU KV buffer size = 256.00 MiB
llama_new_context_with_model: KV self size = 256.00 MiB, K (f16): 128.00 MiB, V (f16): 128.00 MiB
llama_new_context_with_model: CPU output buffer size = 0.50 MiB
llama_new_context_with_model: CPU compute buffer size = 258.50 MiB
llama_new_context_with_model: graph nodes = 1030
llama_new_context_with_model: graph splits = 1
time=2024-05-02T13:31:28.628+08:00 level=ERROR source=routes.go:120 msg="error loading llama server" error="llama runner process no longer running: 3221225477 "
[GIN] 2024/05/02 - 13:31:28 | 500 | 5.3040015s | 127.0.0.1 | POST "/api/chat"

<!-- gh-comment-id:2089616923 --> @jiangweiatgithub commented on GitHub (May 2, 2024): Here is the serve log from the cpu-only machine: [GIN] 2024/05/02 - 13:31:01 | 200 | 0s | 127.0.0.1 | HEAD "/" [GIN] 2024/05/02 - 13:31:01 | 200 | 15.0003ms | 127.0.0.1 | GET "/api/tags" [GIN] 2024/05/02 - 13:31:23 | 200 | 0s | 127.0.0.1 | HEAD "/" [GIN] 2024/05/02 - 13:31:23 | 200 | 998.4µs | 127.0.0.1 | POST "/api/show" [GIN] 2024/05/02 - 13:31:23 | 200 | 1.0009ms | 127.0.0.1 | POST "/api/show" time=2024-05-02T13:31:26.077+08:00 level=INFO source=gpu.go:121 msg="Detecting GPU type" time=2024-05-02T13:31:26.077+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_*.dll" time=2024-05-02T13:31:26.097+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\\Users\\jiangw\\AppData\\Local\\Programs\\Ollama\\cudart64_110.dll]" time=2024-05-02T13:31:26.098+08:00 level=INFO source=gpu.go:343 msg="Unable to load cudart CUDA management library C:\\Users\\jiangw\\AppData\\Local\\Programs\\Ollama\\cudart64_110.dll: your nvidia driver is too old or missing, please upgrade to run ollama" time=2024-05-02T13:31:26.098+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library nvml.dll" time=2024-05-02T13:31:26.116+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: []" time=2024-05-02T13:31:26.116+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2" time=2024-05-02T13:31:26.117+08:00 level=INFO source=gpu.go:121 msg="Detecting GPU type" time=2024-05-02T13:31:26.117+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_*.dll" time=2024-05-02T13:31:26.136+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\\Users\\jiangw\\AppData\\Local\\Programs\\Ollama\\cudart64_110.dll]" time=2024-05-02T13:31:26.137+08:00 level=INFO source=gpu.go:343 msg="Unable to load cudart CUDA management library C:\\Users\\jiangw\\AppData\\Local\\Programs\\Ollama\\cudart64_110.dll: your nvidia driver is too old or missing, please upgrade to run ollama" time=2024-05-02T13:31:26.137+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library nvml.dll" time=2024-05-02T13:31:26.155+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: []" time=2024-05-02T13:31:26.155+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2" time=2024-05-02T13:31:26.157+08:00 level=INFO source=server.go:127 msg="offload to gpu" reallayers=0 layers=0 required="8025.3 MiB" used="677.5 MiB" available="0 B" kv="256.0 MiB" fulloffload="164.0 MiB" partialoffload="677.5 MiB" time=2024-05-02T13:31:26.163+08:00 level=INFO source=server.go:264 msg="starting llama server" cmd="F:\\TEMP2\\2\\ollama515740053\\runners\\cpu_avx2\\ollama_llama_server.exe --model C:\\Users\\jiangw\\.ollama\\models\\blobs\\sha256-a6dbf5ed89ddec7bb5e74591d9e18e07e8fc3b4916b09451bff75c955cc2ed75 --ctx-size 2048 --batch-size 512 --embedding --log-disable --n-gpu-layers 0 --port 50921" time=2024-05-02T13:31:26.167+08:00 level=INFO source=server.go:389 msg="waiting for llama runner to start responding" {"function":"server_params_parse","level":"INFO","line":2603,"msg":"logging to file is disabled.","tid":"32680","timestamp":1714627886} {"function":"server_params_parse","level":"WARN","line":2382,"msg":"Not compiled with GPU offload support, --n-gpu-layers option will be ignored. See main README.md for information on enabling GPU BLAS support","n_gpu_layers":-1,"tid":"32680","timestamp":1714627886} {"build":2679,"commit":"7593639","function":"wmain","level":"INFO","line":2820,"msg":"build info","tid":"32680","timestamp":1714627886} {"function":"wmain","level":"INFO","line":2827,"msg":"system info","n_threads":12,"n_threads_batch":-1,"system_info":"AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | SSSE3 = 0 | VSX = 0 | MATMUL_INT8 = 0 | ","tid":"32680","timestamp":1714627886,"total_threads":24} llama_model_loader: loaded meta data with 21 key-value pairs and 291 tensors from C:\Users\jiangw\.ollama\models\blobs\sha256-a6dbf5ed89ddec7bb5e74591d9e18e07e8fc3b4916b09451bff75c955cc2ed75 (version GGUF V3 (latest)) llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output. llama_model_loader: - kv 0: general.architecture str = llama llama_model_loader: - kv 1: general.name str = llama-3-chinese llama_model_loader: - kv 2: llama.block_count u32 = 32 llama_model_loader: - kv 3: llama.context_length u32 = 8192 llama_model_loader: - kv 4: llama.embedding_length u32 = 4096 llama_model_loader: - kv 5: llama.feed_forward_length u32 = 14336 llama_model_loader: - kv 6: llama.attention.head_count u32 = 32 llama_model_loader: - kv 7: llama.attention.head_count_kv u32 = 8 llama_model_loader: - kv 8: llama.rope.freq_base f32 = 500000.000000 llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 = 0.000010 llama_model_loader: - kv 10: general.file_type u32 = 7 llama_model_loader: - kv 11: llama.vocab_size u32 = 128256 llama_model_loader: - kv 12: llama.rope.dimension_count u32 = 128 llama_model_loader: - kv 13: tokenizer.ggml.model str = gpt2 llama_model_loader: - kv 14: tokenizer.ggml.pre str = llama-bpe llama_model_loader: - kv 15: tokenizer.ggml.tokens arr[str,128256] = ["!", "\"", "#", "$", "%", "&", "'", ... llama_model_loader: - kv 16: tokenizer.ggml.token_type arr[i32,128256] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... llama_model_loader: - kv 17: tokenizer.ggml.merges arr[str,280147] = ["Ġ Ġ", "Ġ ĠĠĠ", "ĠĠ ĠĠ", "... llama_model_loader: - kv 18: tokenizer.ggml.bos_token_id u32 = 128000 llama_model_loader: - kv 19: tokenizer.ggml.eos_token_id u32 = 128001 llama_model_loader: - kv 20: general.quantization_version u32 = 2 llama_model_loader: - type f32: 65 tensors llama_model_loader: - type q8_0: 226 tensors llm_load_vocab: special tokens definition check successful ( 256/128256 ). llm_load_print_meta: format = GGUF V3 (latest) llm_load_print_meta: arch = llama llm_load_print_meta: vocab type = BPE llm_load_print_meta: n_vocab = 128256 llm_load_print_meta: n_merges = 280147 llm_load_print_meta: n_ctx_train = 8192 llm_load_print_meta: n_embd = 4096 llm_load_print_meta: n_head = 32 llm_load_print_meta: n_head_kv = 8 llm_load_print_meta: n_layer = 32 llm_load_print_meta: n_rot = 128 llm_load_print_meta: n_embd_head_k = 128 llm_load_print_meta: n_embd_head_v = 128 llm_load_print_meta: n_gqa = 4 llm_load_print_meta: n_embd_k_gqa = 1024 llm_load_print_meta: n_embd_v_gqa = 1024 llm_load_print_meta: f_norm_eps = 0.0e+00 llm_load_print_meta: f_norm_rms_eps = 1.0e-05 llm_load_print_meta: f_clamp_kqv = 0.0e+00 llm_load_print_meta: f_max_alibi_bias = 0.0e+00 llm_load_print_meta: f_logit_scale = 0.0e+00 llm_load_print_meta: n_ff = 14336 llm_load_print_meta: n_expert = 0 llm_load_print_meta: n_expert_used = 0 llm_load_print_meta: causal attn = 1 llm_load_print_meta: pooling type = 0 llm_load_print_meta: rope type = 0 llm_load_print_meta: rope scaling = linear llm_load_print_meta: freq_base_train = 500000.0 llm_load_print_meta: freq_scale_train = 1 llm_load_print_meta: n_yarn_orig_ctx = 8192 llm_load_print_meta: rope_finetuned = unknown llm_load_print_meta: ssm_d_conv = 0 llm_load_print_meta: ssm_d_inner = 0 llm_load_print_meta: ssm_d_state = 0 llm_load_print_meta: ssm_dt_rank = 0 llm_load_print_meta: model type = 7B llm_load_print_meta: model ftype = Q8_0 llm_load_print_meta: model params = 8.03 B llm_load_print_meta: model size = 7.95 GiB (8.50 BPW) llm_load_print_meta: general.name = llama-3-chinese llm_load_print_meta: BOS token = 128000 '<|begin_of_text|>' llm_load_print_meta: EOS token = 128001 '<|end_of_text|>' llm_load_print_meta: LF token = 128 'Ä' llm_load_tensors: ggml ctx size = 0.11 MiB llm_load_tensors: CPU buffer size = 8137.64 MiB ......................................................................................... llama_new_context_with_model: n_ctx = 2048 llama_new_context_with_model: n_batch = 512 llama_new_context_with_model: n_ubatch = 512 llama_new_context_with_model: freq_base = 500000.0 llama_new_context_with_model: freq_scale = 1 llama_kv_cache_init: CPU KV buffer size = 256.00 MiB llama_new_context_with_model: KV self size = 256.00 MiB, K (f16): 128.00 MiB, V (f16): 128.00 MiB llama_new_context_with_model: CPU output buffer size = 0.50 MiB llama_new_context_with_model: CPU compute buffer size = 258.50 MiB llama_new_context_with_model: graph nodes = 1030 llama_new_context_with_model: graph splits = 1 time=2024-05-02T13:31:28.628+08:00 level=ERROR source=routes.go:120 msg="error loading llama server" error="llama runner process no longer running: 3221225477 " [GIN] 2024/05/02 - 13:31:28 | 500 | 5.3040015s | 127.0.0.1 | POST "/api/chat"
GiteaMirror commented 2026-04-12 12:51:46 -05:00
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@jiangweiatgithub commented on GitHub (May 2, 2024):

Now I guess I know how to re-start the server. Here is what I got from the server console after I set the first env. var., re-starte the server and re-run the model:
(base) PS C:\Users\polyt> $env:OLLAMA_DEBUG="1"
(base) PS C:\Users\polyt> ollama serve
time=2024-05-02T14:02:17.241+08:00 level=INFO source=images.go:817 msg="total blobs: 81"
time=2024-05-02T14:02:17.246+08:00 level=INFO source=images.go:824 msg="total unused blobs removed: 0"
time=2024-05-02T14:02:17.253+08:00 level=INFO source=routes.go:1143 msg="Listening on 127.0.0.1:11434 (version 0.1.32)"
time=2024-05-02T14:02:17.256+08:00 level=INFO source=payload.go:28 msg="extracting embedded files" dir=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners
time=2024-05-02T14:02:17.257+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu file=build/windows/amd64/cpu/bin/llama.dll.gz
time=2024-05-02T14:02:17.257+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu file=build/windows/amd64/cpu/bin/ollama_llama_server.exe.gz
time=2024-05-02T14:02:17.257+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu_avx file=build/windows/amd64/cpu_avx/bin/llama.dll.gz
time=2024-05-02T14:02:17.257+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu_avx file=build/windows/amd64/cpu_avx/bin/ollama_llama_server.exe.gz
time=2024-05-02T14:02:17.257+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu_avx2 file=build/windows/amd64/cpu_avx2/bin/llama.dll.gz
time=2024-05-02T14:02:17.257+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu_avx2 file=build/windows/amd64/cpu_avx2/bin/ollama_llama_server.exe.gz
time=2024-05-02T14:02:17.257+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cuda_v11.3 file=build/windows/amd64/cuda_v11.3/bin/llama.dll.gz
time=2024-05-02T14:02:17.257+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cuda_v11.3 file=build/windows/amd64/cuda_v11.3/bin/ollama_llama_server.exe.gz
time=2024-05-02T14:02:17.258+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=rocm_v5.7 file=build/windows/amd64/rocm_v5.7/bin/llama.dll.gz
time=2024-05-02T14:02:17.258+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=rocm_v5.7 file=build/windows/amd64/rocm_v5.7/bin/ollama_llama_server.exe.gz
time=2024-05-02T14:02:17.563+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu
time=2024-05-02T14:02:17.563+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu_avx
time=2024-05-02T14:02:17.563+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu_avx2
time=2024-05-02T14:02:17.563+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cuda_v11.3
time=2024-05-02T14:02:17.563+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\rocm_v5.7
time=2024-05-02T14:02:17.563+08:00 level=INFO source=payload.go:41 msg="Dynamic LLM libraries [cpu cpu_avx cpu_avx2 cuda_v11.3 rocm_v5.7]"
time=2024-05-02T14:02:17.563+08:00 level=DEBUG source=payload.go:42 msg="Override detection logic by setting OLLAMA_LLM_LIBRARY"
[GIN] 2024/05/02 - 14:02:27 | 200 | 0s | 127.0.0.1 | HEAD "/"
[GIN] 2024/05/02 - 14:02:27 | 200 | 576µs | 127.0.0.1 | POST "/api/show"
[GIN] 2024/05/02 - 14:02:27 | 200 | 584.2µs | 127.0.0.1 | POST "/api/show"
time=2024-05-02T14:02:27.341+08:00 level=DEBUG source=gguf.go:57 msg="model = &llm.gguf{containerGGUF:(llm.containerGGUF)(0xc000698380), kv:llm.KV{}, tensors:[]llm.Tensor(nil), parameters:0x0}"
time=2024-05-02T14:02:30.051+08:00 level=DEBUG source=gguf.go:193 msg="general.architecture = llama"
time=2024-05-02T14:02:30.058+08:00 level=INFO source=gpu.go:121 msg="Detecting GPU type"
time=2024-05-02T14:02:30.059+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_.dll"
time=2024-05-02T14:02:30.059+08:00 level=DEBUG source=gpu.go:286 msg="gpu management search paths: [C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v*\bin\cudart64_.dll D:\ProgramData\Anaconda3\cudart64_.dll* D:\ProgramData\Anaconda3\Library\mingw-w64\bin\cudart64_.dll D:\ProgramData\Anaconda3\Library\usr\bin\cudart64_.dll D:\ProgramData\Anaconda3\Library\bin\cudart64_.dll D:\ProgramData\Anaconda3\Scripts\cudart64_.dll D:\ProgramData\Anaconda3\bin\cudart64_.dll D:\ProgramData\Anaconda3\condabin\cudart64_.dll C:\Program Files\Common Files\Oracle\Java\javapath\cudart64_.dll C:\Program Files\Microsoft MPI\Bin\cudart64_.dll C:\Program Files (x86)\Common Files\Intel\Shared Libraries\redist\intel64\compiler\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\libnvvp\cudart64_.dll C:\Program Files\Python38\Scripts\cudart64_.dll C:\Program Files\Python38\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\libnvvp\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\libnvvp\cudart64_.dll C:\Windows\system32\cudart64_.dll C:\Windows\cudart64_.dll C:\Windows\System32\Wbem\cudart64_.dll C:\Windows\System32\WindowsPowerShell\v1.0\cudart64_.dll C:\Windows\System32\OpenSSH\cudart64_.dll C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\cudart64_.dll C:\Program Files\Microsoft SQL Server\130\Tools\Binn\cudart64_.dll C:\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn\cudart64_.dll C:\Strawberry\c\bin\cudart64_.dll C:\Strawberry\perl\site\bin\cudart64_.dll C:\Strawberry\perl\bin\cudart64_.dll C:\Program Files\Git\cmd\cudart64_.dll C:\ProgramData\chocolatey\bin\cudart64_.dll C:\Users\polyt\Downloads\apache-ant-1.10.8-bin\apache-ant-1.10.8\bin\cudart64_.dll C:\Program Files\Git\usr\bin\cudart64_.dll C:\WINDOWS\system32\cudart64_.dll C:\WINDOWS\cudart64_.dll C:\WINDOWS\System32\Wbem\cudart64_.dll C:\WINDOWS\System32\WindowsPowerShell\v1.0\cudart64_.dll C:\WINDOWS\System32\OpenSSH\cudart64_.dll D:\Program Files (x86)\SDL International\SDLX\cudart64_.dll C:\WINDOWS\system32\cudart64_.dll C:\WINDOWS\cudart64_.dll C:\WINDOWS\System32\Wbem\cudart64_.dll C:\WINDOWS\System32\WindowsPowerShell\v1.0\cudart64_.dll C:\WINDOWS\System32\OpenSSH\cudart64_.dll C:\Program Files\dotnet\cudart64_.dll C:\Program Files\PuTTY\cudart64_.dll C:\Program Files (x86)\Microsoft SQL Server\150\Tools\Binn\cudart64_.dll C:\Program Files\Microsoft SQL Server\150\Tools\Binn\cudart64_.dll C:\Program Files (x86)\Microsoft SQL Server\150\DTS\Binn\cudart64_.dll C:\Program Files\Microsoft SQL Server\150\DTS\Binn\cudart64_.dll D:\ProgramData\Anaconda3\Library\bin\cudart64_.dll C:\Program Files (x86)\NetSarang\Xshell 7\cudart64_.dll C:\Program Files (x86)\NetSarang\Xftp 7\cudart64_.dll C:\Program Files (x86)\PDFtk\bin\cudart64_.dll D:\mindopt\0.15.1\win64-x86\bin\cudart64_.dll D:\mindopt\0.15.1\win64-x86\lib\cudart64_.dll C:\Program Files\nodejs\cudart64_.dll C:\Program Files\Calibre2\cudart64_.dll C:\Program Files\Docker\Docker\resources\bin\cudart64_.dll C:\Program Files\Pandoc\cudart64_.dll C:\Program Files\NVIDIA Corporation\Nsight Compute 2023.3.1\cudart64_.dll C:\Users\polyt\.cargo\bin\cudart64_.dll C:\Program Files (x86)\Common Files\Oracle\Java\javapath\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\libnvvp\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\libnvvp\cudart64_.dll C:\Windows\system32\cudart64_.dll C:\Windows\cudart64_.dll C:\Windows\System32\Wbem\cudart64_.dll C:\Windows\System32\WindowsPowerShell\v1.0\cudart64_.dll C:\Windows\System32\OpenSSH\cudart64_.dll C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\cudart64_.dll C:\Program Files\Microsoft SQL Server\130\Tools\Binn\cudart64_.dll C:\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn\cudart64_.dll C:\Strawberry\c\bin\cudart64_.dll C:\Strawberry\perl\site\bin\cudart64_.dll C:\Strawberry\perl\bin\cudart64_.dll C:\Program Files\Git\cmd\cudart64_.dll C:\Program Files\nodejs\cudart64_.dll C:\ProgramData\chocolatey\bin\cudart64_.dll X:\Program Files (x86)\BaseX\bin\cudart64_.dll C:\Users\polyt\Downloads\apache-ant-1.10.8-bin\apache-ant-1.10.8\bin\cudart64_.dll C:\Program Files\Git\usr\bin\cudart64_.dll C:\Program Files\dotnet\cudart64_.dll C:\WINDOWS\system32\cudart64_.dll C:\WINDOWS\cudart64_.dll C:\WINDOWS\System32\Wbem\cudart64_.dll C:\WINDOWS\System3\cudart64_.dll C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_.dll C:\Users\polyt\AppData\Local\GitHubDesktop\bin\cudart64_.dll]"
time=2024-05-02T14:02:30.089+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_100.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_101.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.2\bin\cudart64_12.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\cudart64_110.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_100.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_101.dll C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\cudart64_65.dll]"
wiring cudart library functions in C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_110.dll
dlsym: cudaSetDevice
dlsym: cudaDeviceSynchronize
dlsym: cudaDeviceReset
dlsym: cudaMemGetInfo
dlsym: cudaGetDeviceCount
dlsym: cudaDeviceGetAttribute
dlsym: cudaDriverGetVersion
CUDA driver version: 12-2
time=2024-05-02T14:02:30.126+08:00 level=INFO source=gpu.go:126 msg="Nvidia GPU detected via cudart"
time=2024-05-02T14:02:30.126+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2"
[0] CUDA totalMem 4294639616
[0] CUDA freeMem 3136290816
time=2024-05-02T14:02:30.242+08:00 level=INFO source=gpu.go:202 msg="[cudart] CUDART CUDA Compute Capability detected: 7.5"
releasing cudart library
time=2024-05-02T14:02:30.272+08:00 level=INFO source=gpu.go:121 msg="Detecting GPU type"
time=2024-05-02T14:02:30.272+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_.dll"
time=2024-05-02T14:02:30.272+08:00 level=DEBUG source=gpu.go:286 msg="gpu management search paths: [C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v*\bin\cudart64_.dll D:\ProgramData\Anaconda3\cudart64_.dll* D:\ProgramData\Anaconda3\Library\mingw-w64\bin\cudart64_.dll D:\ProgramData\Anaconda3\Library\usr\bin\cudart64_.dll D:\ProgramData\Anaconda3\Library\bin\cudart64_.dll D:\ProgramData\Anaconda3\Scripts\cudart64_.dll D:\ProgramData\Anaconda3\bin\cudart64_.dll D:\ProgramData\Anaconda3\condabin\cudart64_.dll C:\Program Files\Common Files\Oracle\Java\javapath\cudart64_.dll C:\Program Files\Microsoft MPI\Bin\cudart64_.dll C:\Program Files (x86)\Common Files\Intel\Shared Libraries\redist\intel64\compiler\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\libnvvp\cudart64_.dll C:\Program Files\Python38\Scripts\cudart64_.dll C:\Program Files\Python38\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\libnvvp\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\libnvvp\cudart64_.dll C:\Windows\system32\cudart64_.dll C:\Windows\cudart64_.dll C:\Windows\System32\Wbem\cudart64_.dll C:\Windows\System32\WindowsPowerShell\v1.0\cudart64_.dll C:\Windows\System32\OpenSSH\cudart64_.dll C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\cudart64_.dll C:\Program Files\Microsoft SQL Server\130\Tools\Binn\cudart64_.dll C:\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn\cudart64_.dll C:\Strawberry\c\bin\cudart64_.dll C:\Strawberry\perl\site\bin\cudart64_.dll C:\Strawberry\perl\bin\cudart64_.dll C:\Program Files\Git\cmd\cudart64_.dll C:\ProgramData\chocolatey\bin\cudart64_.dll C:\Users\polyt\Downloads\apache-ant-1.10.8-bin\apache-ant-1.10.8\bin\cudart64_.dll C:\Program Files\Git\usr\bin\cudart64_.dll C:\WINDOWS\system32\cudart64_.dll C:\WINDOWS\cudart64_.dll C:\WINDOWS\System32\Wbem\cudart64_.dll C:\WINDOWS\System32\WindowsPowerShell\v1.0\cudart64_.dll C:\WINDOWS\System32\OpenSSH\cudart64_.dll D:\Program Files (x86)\SDL International\SDLX\cudart64_.dll C:\WINDOWS\system32\cudart64_.dll C:\WINDOWS\cudart64_.dll C:\WINDOWS\System32\Wbem\cudart64_.dll C:\WINDOWS\System32\WindowsPowerShell\v1.0\cudart64_.dll C:\WINDOWS\System32\OpenSSH\cudart64_.dll C:\Program Files\dotnet\cudart64_.dll C:\Program Files\PuTTY\cudart64_.dll C:\Program Files (x86)\Microsoft SQL Server\150\Tools\Binn\cudart64_.dll C:\Program Files\Microsoft SQL Server\150\Tools\Binn\cudart64_.dll C:\Program Files (x86)\Microsoft SQL Server\150\DTS\Binn\cudart64_.dll C:\Program Files\Microsoft SQL Server\150\DTS\Binn\cudart64_.dll D:\ProgramData\Anaconda3\Library\bin\cudart64_.dll C:\Program Files (x86)\NetSarang\Xshell 7\cudart64_.dll C:\Program Files (x86)\NetSarang\Xftp 7\cudart64_.dll C:\Program Files (x86)\PDFtk\bin\cudart64_.dll D:\mindopt\0.15.1\win64-x86\bin\cudart64_.dll D:\mindopt\0.15.1\win64-x86\lib\cudart64_.dll C:\Program Files\nodejs\cudart64_.dll C:\Program Files\Calibre2\cudart64_.dll C:\Program Files\Docker\Docker\resources\bin\cudart64_.dll C:\Program Files\Pandoc\cudart64_.dll C:\Program Files\NVIDIA Corporation\Nsight Compute 2023.3.1\cudart64_.dll C:\Users\polyt\.cargo\bin\cudart64_.dll C:\Program Files (x86)\Common Files\Oracle\Java\javapath\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\libnvvp\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\libnvvp\cudart64_.dll C:\Windows\system32\cudart64_.dll C:\Windows\cudart64_.dll C:\Windows\System32\Wbem\cudart64_.dll C:\Windows\System32\WindowsPowerShell\v1.0\cudart64_.dll C:\Windows\System32\OpenSSH\cudart64_.dll C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\cudart64_.dll C:\Program Files\Microsoft SQL Server\130\Tools\Binn\cudart64_.dll C:\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn\cudart64_.dll C:\Strawberry\c\bin\cudart64_.dll C:\Strawberry\perl\site\bin\cudart64_.dll C:\Strawberry\perl\bin\cudart64_.dll C:\Program Files\Git\cmd\cudart64_.dll C:\Program Files\nodejs\cudart64_.dll C:\ProgramData\chocolatey\bin\cudart64_.dll X:\Program Files (x86)\BaseX\bin\cudart64_.dll C:\Users\polyt\Downloads\apache-ant-1.10.8-bin\apache-ant-1.10.8\bin\cudart64_.dll C:\Program Files\Git\usr\bin\cudart64_.dll C:\Program Files\dotnet\cudart64_.dll C:\WINDOWS\system32\cudart64_.dll C:\WINDOWS\cudart64_.dll C:\WINDOWS\System32\Wbem\cudart64_.dll C:\WINDOWS\System3\cudart64_.dll C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_.dll C:\Users\polyt\AppData\Local\GitHubDesktop\bin\cudart64_.dll]"
time=2024-05-02T14:02:30.306+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_100.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_101.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.2\bin\cudart64_12.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\cudart64_110.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_100.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_101.dll C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\cudart64_65.dll]"
wiring cudart library functions in C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_110.dll
dlsym: cudaSetDevice
dlsym: cudaDeviceSynchronize
dlsym: cudaDeviceReset
dlsym: cudaMemGetInfo
dlsym: cudaGetDeviceCount
dlsym: cudaDeviceGetAttribute
dlsym: cudaDriverGetVersion
CUDA driver version: 12-2
time=2024-05-02T14:02:30.308+08:00 level=INFO source=gpu.go:126 msg="Nvidia GPU detected via cudart"
time=2024-05-02T14:02:30.308+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2"
[0] CUDA totalMem 4294639616
[0] CUDA freeMem 3136290816
time=2024-05-02T14:02:30.392+08:00 level=INFO source=gpu.go:202 msg="[cudart] CUDART CUDA Compute Capability detected: 7.5"
releasing cudart library
time=2024-05-02T14:02:30.420+08:00 level=INFO source=server.go:127 msg="offload to gpu" reallayers=33 layers=33 required="8482.3 MiB" used="8482.3 MiB" available="15279.0 MiB" kv="256.0 MiB" fulloffload="164.0 MiB" partialoffload="677.5 MiB"
time=2024-05-02T14:02:30.421+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu
time=2024-05-02T14:02:30.421+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu_avx
time=2024-05-02T14:02:30.421+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu_avx2
time=2024-05-02T14:02:30.421+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cuda_v11.3
time=2024-05-02T14:02:30.421+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\rocm_v5.7
time=2024-05-02T14:02:30.421+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu
time=2024-05-02T14:02:30.421+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu_avx
time=2024-05-02T14:02:30.422+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu_avx2
time=2024-05-02T14:02:30.422+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cuda_v11.3
time=2024-05-02T14:02:30.422+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\rocm_v5.7
time=2024-05-02T14:02:30.422+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2"
time=2024-05-02T14:02:30.432+08:00 level=DEBUG source=server.go:259 msg="PATH=D:\ProgramData\Anaconda3;D:\ProgramData\Anaconda3\Library\mingw-w64\bin;D:\ProgramData\Anaconda3\Library\usr\bin;D:\ProgramData\Anaconda3\Library\bin;D:\ProgramData\Anaconda3\Scripts;D:\ProgramData\Anaconda3\bin;D:\ProgramData\Anaconda3\condabin;C:\Program Files\Common Files\Oracle\Java\javapath;C:\Program Files\Microsoft MPI\Bin;C:\Program Files (x86)\Common Files\Intel\Shared Libraries\redist\intel64\compiler;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\libnvvp;C:\Program Files\Python38\Scripts;C:\Program Files\Python38;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\libnvvp;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0;C:\Windows\System32\OpenSSH;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\Microsoft SQL Server\130\Tools\Binn;C:\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn;C:\Strawberry\c\bin;C:\Strawberry\perl\site\bin;C:\Strawberry\perl\bin;C:\Program Files\Git\cmd;C:\ProgramData\chocolatey\bin;C:\Users\polyt\Downloads\apache-ant-1.10.8-bin\apache-ant-1.10.8\bin;C:\Program Files\Git\usr\bin;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0;C:\WINDOWS\System32\OpenSSH;D:\Program Files (x86)\SDL International\SDLX;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0;C:\WINDOWS\System32\OpenSSH;C:\Program Files\dotnet;C:\Program Files\PuTTY;C:\Program Files (x86)\Microsoft SQL Server\150\Tools\Binn;C:\Program Files\Microsoft SQL Server\150\Tools\Binn;C:\Program Files (x86)\Microsoft SQL Server\150\DTS\Binn;C:\Program Files\Microsoft SQL Server\150\DTS\Binn;D:\ProgramData\Anaconda3\Library\bin;C:\Program Files (x86)\NetSarang\Xshell 7;C:\Program Files (x86)\NetSarang\Xftp 7;C:\Program Files (x86)\PDFtk\bin;D:\mindopt\0.15.1\win64-x86\bin;D:\mindopt\0.15.1\win64-x86\lib;C:\Program Files\nodejs;C:\Program Files\Calibre2;C:\Program Files\Docker\Docker\resources\bin;C:\Program Files\Pandoc;C:\Program Files\NVIDIA Corporation\Nsight Compute 2023.3.1;C:\Users\polyt\.cargo\bin;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\libnvvp;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0;C:\Windows\System32\OpenSSH;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\Microsoft SQL Server\130\Tools\Binn;C:\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn;C:\Strawberry\c\bin;C:\Strawberry\perl\site\bin;C:\Strawberry\perl\bin;C:\Program Files\Git\cmd;C:\Program Files\nodejs;C:\ProgramData\chocolatey\bin;X:\Program Files (x86)\BaseX\bin;C:\Users\polyt\Downloads\apache-ant-1.10.8-bin\apache-ant-1.10.8\bin;C:\Program Files\Git\usr\bin;C:\Program Files\dotnet;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System3;C:\Users\polyt\AppData\Local\Programs\Ollama;C:\Users\polyt\AppData\Local\GitHubDesktop\bin;C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cuda_v11.3"
time=2024-05-02T14:02:30.432+08:00 level=INFO source=server.go:264 msg="starting llama server" cmd="C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cuda_v11.3\ollama_llama_server.exe --model C:\Users\polyt\.ollama\models\blobs\sha256-09a73f0b7eb0ea0cc700f6e0eb9e06f23d25600232f09c13d77e402cc8f9667e --ctx-size 2048 --batch-size 512 --embedding --log-format json --n-gpu-layers 33 --verbose --port 11348"
time=2024-05-02T14:02:30.583+08:00 level=INFO source=server.go:389 msg="waiting for llama runner to start responding"
time=2024-05-02T14:02:30.636+08:00 level=DEBUG source=server.go:420 msg="server not yet available" error="health resp: Get "http://127.0.0.1:11348/health": dial tcp 127.0.0.1:11348: connectex: No connection could be made because the target machine actively refused it."
{"function":"server_params_parse","level":"WARN","line":2494,"msg":"server.cpp is not built with verbose logging.","tid":"22908","timestamp":1714629751}
{"build":2679,"commit":"7593639","function":"wmain","level":"INFO","line":2820,"msg":"build info","tid":"22908","timestamp":1714629751}
{"function":"wmain","level":"INFO","line":2827,"msg":"system info","n_threads":8,"n_threads_batch":-1,"system_info":"AVX = 1 | AVX_VNNI = 0 | AVX2 = 0 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 0 | NEON = 0 | ARM_FMA = 0 | F16C = 0 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | SSSE3 = 0 | VSX = 0 | MATMUL_INT8 = 0 | ","tid":"22908","timestamp":1714629751,"total_threads":16}
llama_model_loader: loaded meta data with 23 key-value pairs and 291 tensors from C:\Users\polyt.ollama\models\blobs\sha256-09a73f0b7eb0ea0cc700f6e0eb9e06f23d25600232f09c13d77e402cc8f9667e (version GGUF V3 (latest))
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv 0: general.architecture str = llama
llama_model_loader: - kv 1: general.name str = llama-3-chinese-instruct
llama_model_loader: - kv 2: llama.block_count u32 = 32
llama_model_loader: - kv 3: llama.context_length u32 = 8192
llama_model_loader: - kv 4: llama.embedding_length u32 = 4096
llama_model_loader: - kv 5: llama.feed_forward_length u32 = 14336
llama_model_loader: - kv 6: llama.attention.head_count u32 = 32
llama_model_loader: - kv 7: llama.attention.head_count_kv u32 = 8
llama_model_loader: - kv 8: llama.rope.freq_base f32 = 500000.000000
llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 = 0.000010
llama_model_loader: - kv 10: general.file_type u32 = 7
llama_model_loader: - kv 11: llama.vocab_size u32 = 128256
llama_model_loader: - kv 12: llama.rope.dimension_count u32 = 128
llama_model_loader: - kv 13: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 14: tokenizer.ggml.pre str = llama-bpe
llama_model_loader: - kv 15: tokenizer.ggml.tokens arr[str,128256] = ["!", """, "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 16: tokenizer.ggml.token_type arr[i32,128256] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 17: tokenizer.ggml.merges arr[str,280147] = ["Ġ Ġ", "Ġ ĠĠĠ", "ĠĠ ĠĠ", "...
llama_model_loader: - kv 18: tokenizer.ggml.bos_token_id u32 = 128000
llama_model_loader: - kv 19: tokenizer.ggml.eos_token_id u32 = 128001
llama_model_loader: - kv 20: tokenizer.ggml.padding_token_id u32 = 128001
llama_model_loader: - kv 21: tokenizer.chat_template str = {% set loop_messages = messages %}{% ...
llama_model_loader: - kv 22: general.quantization_version u32 = 2
llama_model_loader: - type f32: 65 tensors
llama_model_loader: - type q8_0: 226 tensors
time=2024-05-02T14:02:31.386+08:00 level=DEBUG source=server.go:420 msg="server not yet available" error="server not responding"
time=2024-05-02T14:02:32.198+08:00 level=DEBUG source=server.go:420 msg="server not yet available" error="health resp: Get "http://127.0.0.1:11348/health": dial tcp 127.0.0.1:11348: connectex: No connection could be made because the target machine actively refused it."
llm_load_vocab: special tokens definition check successful ( 256/128256 ).
llm_load_print_meta: format = GGUF V3 (latest)
llm_load_print_meta: arch = llama
llm_load_print_meta: vocab type = BPE
llm_load_print_meta: n_vocab = 128256
llm_load_print_meta: n_merges = 280147
llm_load_print_meta: n_ctx_train = 8192
llm_load_print_meta: n_embd = 4096
llm_load_print_meta: n_head = 32
llm_load_print_meta: n_head_kv = 8
llm_load_print_meta: n_layer = 32
llm_load_print_meta: n_rot = 128
llm_load_print_meta: n_embd_head_k = 128
llm_load_print_meta: n_embd_head_v = 128
llm_load_print_meta: n_gqa = 4
llm_load_print_meta: n_embd_k_gqa = 1024
llm_load_print_meta: n_embd_v_gqa = 1024
llm_load_print_meta: f_norm_eps = 0.0e+00
llm_load_print_meta: f_norm_rms_eps = 1.0e-05
llm_load_print_meta: f_clamp_kqv = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
llm_load_print_meta: f_logit_scale = 0.0e+00
llm_load_print_meta: n_ff = 14336
llm_load_print_meta: n_expert = 0
llm_load_print_meta: n_expert_used = 0
llm_load_print_meta: causal attn = 1
llm_load_print_meta: pooling type = 0
llm_load_print_meta: rope type = 0
llm_load_print_meta: rope scaling = linear
llm_load_print_meta: freq_base_train = 500000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx = 8192
llm_load_print_meta: rope_finetuned = unknown
llm_load_print_meta: ssm_d_conv = 0
llm_load_print_meta: ssm_d_inner = 0
llm_load_print_meta: ssm_d_state = 0
llm_load_print_meta: ssm_dt_rank = 0
llm_load_print_meta: model type = 7B
llm_load_print_meta: model ftype = Q8_0
llm_load_print_meta: model params = 8.03 B
llm_load_print_meta: model size = 7.95 GiB (8.50 BPW)
llm_load_print_meta: general.name = llama-3-chinese-instruct
llm_load_print_meta: BOS token = 128000 '<|begin_of_text|>'
llm_load_print_meta: EOS token = 128001 '<|end_of_text|>'
llm_load_print_meta: PAD token = 128001 '<|end_of_text|>'
llm_load_print_meta: LF token = 128 'Ä'
ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
ggml_cuda_init: CUDA_USE_TENSOR_CORES: yes
ggml_cuda_init: found 1 CUDA devices:
Device 0: Quadro RTX 5000, compute capability 7.5, VMM: yes
llm_load_tensors: ggml ctx size = 0.22 MiB
llm_load_tensors: offloading 32 repeating layers to GPU
llm_load_tensors: offloading non-repeating layers to GPU
llm_load_tensors: offloaded 33/33 layers to GPU
llm_load_tensors: CPU buffer size = 532.31 MiB
llm_load_tensors: CUDA0 buffer size = 7605.33 MiB
.............................................time=2024-05-02T14:02:41.896+08:00 level=ERROR source=routes.go:120 msg="error loading llama server" error="llama runner process no longer running: 3221225477 "
time=2024-05-02T14:02:41.896+08:00 level=DEBUG source=server.go:832 msg="stopping llama server"
[GIN] 2024/05/02 - 14:02:41 | 500 | 14.5559664s | 127.0.0.1 | POST "/api/chat"

<!-- gh-comment-id:2089633327 --> @jiangweiatgithub commented on GitHub (May 2, 2024): Now I guess I know how to re-start the server. Here is what I got from the server console after I set the first env. var., re-starte the server and re-run the model: (base) PS C:\Users\polyt> $env:OLLAMA_DEBUG="1" (base) PS C:\Users\polyt> ollama serve time=2024-05-02T14:02:17.241+08:00 level=INFO source=images.go:817 msg="total blobs: 81" time=2024-05-02T14:02:17.246+08:00 level=INFO source=images.go:824 msg="total unused blobs removed: 0" time=2024-05-02T14:02:17.253+08:00 level=INFO source=routes.go:1143 msg="Listening on 127.0.0.1:11434 (version 0.1.32)" time=2024-05-02T14:02:17.256+08:00 level=INFO source=payload.go:28 msg="extracting embedded files" dir=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners time=2024-05-02T14:02:17.257+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu file=build/windows/amd64/cpu/bin/llama.dll.gz time=2024-05-02T14:02:17.257+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu file=build/windows/amd64/cpu/bin/ollama_llama_server.exe.gz time=2024-05-02T14:02:17.257+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu_avx file=build/windows/amd64/cpu_avx/bin/llama.dll.gz time=2024-05-02T14:02:17.257+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu_avx file=build/windows/amd64/cpu_avx/bin/ollama_llama_server.exe.gz time=2024-05-02T14:02:17.257+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu_avx2 file=build/windows/amd64/cpu_avx2/bin/llama.dll.gz time=2024-05-02T14:02:17.257+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu_avx2 file=build/windows/amd64/cpu_avx2/bin/ollama_llama_server.exe.gz time=2024-05-02T14:02:17.257+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cuda_v11.3 file=build/windows/amd64/cuda_v11.3/bin/llama.dll.gz time=2024-05-02T14:02:17.257+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cuda_v11.3 file=build/windows/amd64/cuda_v11.3/bin/ollama_llama_server.exe.gz time=2024-05-02T14:02:17.258+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=rocm_v5.7 file=build/windows/amd64/rocm_v5.7/bin/llama.dll.gz time=2024-05-02T14:02:17.258+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=rocm_v5.7 file=build/windows/amd64/rocm_v5.7/bin/ollama_llama_server.exe.gz time=2024-05-02T14:02:17.563+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu time=2024-05-02T14:02:17.563+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu_avx time=2024-05-02T14:02:17.563+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu_avx2 time=2024-05-02T14:02:17.563+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cuda_v11.3 time=2024-05-02T14:02:17.563+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\rocm_v5.7 time=2024-05-02T14:02:17.563+08:00 level=INFO source=payload.go:41 msg="Dynamic LLM libraries [cpu cpu_avx cpu_avx2 cuda_v11.3 rocm_v5.7]" time=2024-05-02T14:02:17.563+08:00 level=DEBUG source=payload.go:42 msg="Override detection logic by setting OLLAMA_LLM_LIBRARY" [GIN] 2024/05/02 - 14:02:27 | 200 | 0s | 127.0.0.1 | HEAD "/" [GIN] 2024/05/02 - 14:02:27 | 200 | 576µs | 127.0.0.1 | POST "/api/show" [GIN] 2024/05/02 - 14:02:27 | 200 | 584.2µs | 127.0.0.1 | POST "/api/show" time=2024-05-02T14:02:27.341+08:00 level=DEBUG source=gguf.go:57 msg="model = &llm.gguf{containerGGUF:(*llm.containerGGUF)(0xc000698380), kv:llm.KV{}, tensors:[]*llm.Tensor(nil), parameters:0x0}" time=2024-05-02T14:02:30.051+08:00 level=DEBUG source=gguf.go:193 msg="general.architecture = llama" time=2024-05-02T14:02:30.058+08:00 level=INFO source=gpu.go:121 msg="Detecting GPU type" time=2024-05-02T14:02:30.059+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_*.dll" time=2024-05-02T14:02:30.059+08:00 level=DEBUG source=gpu.go:286 msg="gpu management search paths: [C:\\Users\\polyt\\AppData\\Local\\Programs\\Ollama\\cudart64_*.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v*\\bin\\cudart64_*.dll D:\\ProgramData\\Anaconda3\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Library\\mingw-w64\\bin\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Library\\usr\\bin\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Library\\bin\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Scripts\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\bin\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\condabin\\cudart64_*.dll* C:\\Program Files\\Common Files\\Oracle\\Java\\javapath\\cudart64_*.dll* C:\\Program Files\\Microsoft MPI\\Bin\\cudart64_*.dll* C:\\Program Files (x86)\\Common Files\\Intel\\Shared Libraries\\redist\\intel64\\compiler\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\libnvvp\\cudart64_*.dll* C:\\Program Files\\Python38\\Scripts\\cudart64_*.dll* C:\\Program Files\\Python38\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\libnvvp\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\libnvvp\\cudart64_*.dll* C:\\Windows\\system32\\cudart64_*.dll* C:\\Windows\\cudart64_*.dll* C:\\Windows\\System32\\Wbem\\cudart64_*.dll* C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\cudart64_*.dll* C:\\Windows\\System32\\OpenSSH\\cudart64_*.dll* C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\130\\Tools\\Binn\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\Client SDK\\ODBC\\170\\Tools\\Binn\\cudart64_*.dll* C:\\Strawberry\\c\\bin\\cudart64_*.dll* C:\\Strawberry\\perl\\site\\bin\\cudart64_*.dll* C:\\Strawberry\\perl\\bin\\cudart64_*.dll* C:\\Program Files\\Git\\cmd\\cudart64_*.dll* C:\\ProgramData\\chocolatey\\bin\\cudart64_*.dll* C:\\Users\\polyt\\Downloads\\apache-ant-1.10.8-bin\\apache-ant-1.10.8\\bin\\cudart64_*.dll* C:\\Program Files\\Git\\usr\\bin\\cudart64_*.dll* C:\\WINDOWS\\system32\\cudart64_*.dll* C:\\WINDOWS\\cudart64_*.dll* C:\\WINDOWS\\System32\\Wbem\\cudart64_*.dll* C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\cudart64_*.dll* C:\\WINDOWS\\System32\\OpenSSH\\cudart64_*.dll* D:\\Program Files (x86)\\SDL International\\SDLX\\cudart64_*.dll* C:\\WINDOWS\\system32\\cudart64_*.dll* C:\\WINDOWS\\cudart64_*.dll* C:\\WINDOWS\\System32\\Wbem\\cudart64_*.dll* C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\cudart64_*.dll* C:\\WINDOWS\\System32\\OpenSSH\\cudart64_*.dll* C:\\Program Files\\dotnet\\cudart64_*.dll* C:\\Program Files\\PuTTY\\cudart64_*.dll* C:\\Program Files (x86)\\Microsoft SQL Server\\150\\Tools\\Binn\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\150\\Tools\\Binn\\cudart64_*.dll* C:\\Program Files (x86)\\Microsoft SQL Server\\150\\DTS\\Binn\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\150\\DTS\\Binn\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Library\\bin\\cudart64_*.dll* C:\\Program Files (x86)\\NetSarang\\Xshell 7\\cudart64_*.dll* C:\\Program Files (x86)\\NetSarang\\Xftp 7\\cudart64_*.dll* C:\\Program Files (x86)\\PDFtk\\bin\\cudart64_*.dll* D:\\mindopt\\0.15.1\\win64-x86\\bin\\cudart64_*.dll* D:\\mindopt\\0.15.1\\win64-x86\\lib\\cudart64_*.dll* C:\\Program Files\\nodejs\\cudart64_*.dll* C:\\Program Files\\Calibre2\\cudart64_*.dll* C:\\Program Files\\Docker\\Docker\\resources\\bin\\cudart64_*.dll* C:\\Program Files\\Pandoc\\cudart64_*.dll* C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2023.3.1\\cudart64_*.dll* C:\\Users\\polyt\\.cargo\\bin\\cudart64_*.dll* C:\\Program Files (x86)\\Common Files\\Oracle\\Java\\javapath\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\libnvvp\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\libnvvp\\cudart64_*.dll* C:\\Windows\\system32\\cudart64_*.dll* C:\\Windows\\cudart64_*.dll* C:\\Windows\\System32\\Wbem\\cudart64_*.dll* C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\cudart64_*.dll* C:\\Windows\\System32\\OpenSSH\\cudart64_*.dll* C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\130\\Tools\\Binn\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\Client SDK\\ODBC\\170\\Tools\\Binn\\cudart64_*.dll* C:\\Strawberry\\c\\bin\\cudart64_*.dll* C:\\Strawberry\\perl\\site\\bin\\cudart64_*.dll* C:\\Strawberry\\perl\\bin\\cudart64_*.dll* C:\\Program Files\\Git\\cmd\\cudart64_*.dll* C:\\Program Files\\nodejs\\cudart64_*.dll* C:\\ProgramData\\chocolatey\\bin\\cudart64_*.dll* X:\\Program Files (x86)\\BaseX\\bin\\cudart64_*.dll* C:\\Users\\polyt\\Downloads\\apache-ant-1.10.8-bin\\apache-ant-1.10.8\\bin\\cudart64_*.dll* C:\\Program Files\\Git\\usr\\bin\\cudart64_*.dll* C:\\Program Files\\dotnet\\cudart64_*.dll* C:\\WINDOWS\\system32\\cudart64_*.dll* C:\\WINDOWS\\cudart64_*.dll* C:\\WINDOWS\\System32\\Wbem\\cudart64_*.dll* C:\\WINDOWS\\System3\\cudart64_*.dll* C:\\Users\\polyt\\AppData\\Local\\Programs\\Ollama\\cudart64_*.dll* C:\\Users\\polyt\\AppData\\Local\\GitHubDesktop\\bin\\cudart64_*.dll*]" time=2024-05-02T14:02:30.089+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\\Users\\polyt\\AppData\\Local\\Programs\\Ollama\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_100.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_101.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.7\\bin\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.2\\bin\\cudart64_12.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin\\cudart64_110.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_100.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_101.dll C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_65.dll]" wiring cudart library functions in C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_110.dll dlsym: cudaSetDevice dlsym: cudaDeviceSynchronize dlsym: cudaDeviceReset dlsym: cudaMemGetInfo dlsym: cudaGetDeviceCount dlsym: cudaDeviceGetAttribute dlsym: cudaDriverGetVersion CUDA driver version: 12-2 time=2024-05-02T14:02:30.126+08:00 level=INFO source=gpu.go:126 msg="Nvidia GPU detected via cudart" time=2024-05-02T14:02:30.126+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2" [0] CUDA totalMem 4294639616 [0] CUDA freeMem 3136290816 time=2024-05-02T14:02:30.242+08:00 level=INFO source=gpu.go:202 msg="[cudart] CUDART CUDA Compute Capability detected: 7.5" releasing cudart library time=2024-05-02T14:02:30.272+08:00 level=INFO source=gpu.go:121 msg="Detecting GPU type" time=2024-05-02T14:02:30.272+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_*.dll" time=2024-05-02T14:02:30.272+08:00 level=DEBUG source=gpu.go:286 msg="gpu management search paths: [C:\\Users\\polyt\\AppData\\Local\\Programs\\Ollama\\cudart64_*.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v*\\bin\\cudart64_*.dll D:\\ProgramData\\Anaconda3\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Library\\mingw-w64\\bin\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Library\\usr\\bin\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Library\\bin\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Scripts\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\bin\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\condabin\\cudart64_*.dll* C:\\Program Files\\Common Files\\Oracle\\Java\\javapath\\cudart64_*.dll* C:\\Program Files\\Microsoft MPI\\Bin\\cudart64_*.dll* C:\\Program Files (x86)\\Common Files\\Intel\\Shared Libraries\\redist\\intel64\\compiler\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\libnvvp\\cudart64_*.dll* C:\\Program Files\\Python38\\Scripts\\cudart64_*.dll* C:\\Program Files\\Python38\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\libnvvp\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\libnvvp\\cudart64_*.dll* C:\\Windows\\system32\\cudart64_*.dll* C:\\Windows\\cudart64_*.dll* C:\\Windows\\System32\\Wbem\\cudart64_*.dll* C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\cudart64_*.dll* C:\\Windows\\System32\\OpenSSH\\cudart64_*.dll* C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\130\\Tools\\Binn\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\Client SDK\\ODBC\\170\\Tools\\Binn\\cudart64_*.dll* C:\\Strawberry\\c\\bin\\cudart64_*.dll* C:\\Strawberry\\perl\\site\\bin\\cudart64_*.dll* C:\\Strawberry\\perl\\bin\\cudart64_*.dll* C:\\Program Files\\Git\\cmd\\cudart64_*.dll* C:\\ProgramData\\chocolatey\\bin\\cudart64_*.dll* C:\\Users\\polyt\\Downloads\\apache-ant-1.10.8-bin\\apache-ant-1.10.8\\bin\\cudart64_*.dll* C:\\Program Files\\Git\\usr\\bin\\cudart64_*.dll* C:\\WINDOWS\\system32\\cudart64_*.dll* C:\\WINDOWS\\cudart64_*.dll* C:\\WINDOWS\\System32\\Wbem\\cudart64_*.dll* C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\cudart64_*.dll* C:\\WINDOWS\\System32\\OpenSSH\\cudart64_*.dll* D:\\Program Files (x86)\\SDL International\\SDLX\\cudart64_*.dll* C:\\WINDOWS\\system32\\cudart64_*.dll* C:\\WINDOWS\\cudart64_*.dll* C:\\WINDOWS\\System32\\Wbem\\cudart64_*.dll* C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\cudart64_*.dll* C:\\WINDOWS\\System32\\OpenSSH\\cudart64_*.dll* C:\\Program Files\\dotnet\\cudart64_*.dll* C:\\Program Files\\PuTTY\\cudart64_*.dll* C:\\Program Files (x86)\\Microsoft SQL Server\\150\\Tools\\Binn\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\150\\Tools\\Binn\\cudart64_*.dll* C:\\Program Files (x86)\\Microsoft SQL Server\\150\\DTS\\Binn\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\150\\DTS\\Binn\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Library\\bin\\cudart64_*.dll* C:\\Program Files (x86)\\NetSarang\\Xshell 7\\cudart64_*.dll* C:\\Program Files (x86)\\NetSarang\\Xftp 7\\cudart64_*.dll* C:\\Program Files (x86)\\PDFtk\\bin\\cudart64_*.dll* D:\\mindopt\\0.15.1\\win64-x86\\bin\\cudart64_*.dll* D:\\mindopt\\0.15.1\\win64-x86\\lib\\cudart64_*.dll* C:\\Program Files\\nodejs\\cudart64_*.dll* C:\\Program Files\\Calibre2\\cudart64_*.dll* C:\\Program Files\\Docker\\Docker\\resources\\bin\\cudart64_*.dll* C:\\Program Files\\Pandoc\\cudart64_*.dll* C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2023.3.1\\cudart64_*.dll* C:\\Users\\polyt\\.cargo\\bin\\cudart64_*.dll* C:\\Program Files (x86)\\Common Files\\Oracle\\Java\\javapath\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\libnvvp\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\libnvvp\\cudart64_*.dll* C:\\Windows\\system32\\cudart64_*.dll* C:\\Windows\\cudart64_*.dll* C:\\Windows\\System32\\Wbem\\cudart64_*.dll* C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\cudart64_*.dll* C:\\Windows\\System32\\OpenSSH\\cudart64_*.dll* C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\130\\Tools\\Binn\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\Client SDK\\ODBC\\170\\Tools\\Binn\\cudart64_*.dll* C:\\Strawberry\\c\\bin\\cudart64_*.dll* C:\\Strawberry\\perl\\site\\bin\\cudart64_*.dll* C:\\Strawberry\\perl\\bin\\cudart64_*.dll* C:\\Program Files\\Git\\cmd\\cudart64_*.dll* C:\\Program Files\\nodejs\\cudart64_*.dll* C:\\ProgramData\\chocolatey\\bin\\cudart64_*.dll* X:\\Program Files (x86)\\BaseX\\bin\\cudart64_*.dll* C:\\Users\\polyt\\Downloads\\apache-ant-1.10.8-bin\\apache-ant-1.10.8\\bin\\cudart64_*.dll* C:\\Program Files\\Git\\usr\\bin\\cudart64_*.dll* C:\\Program Files\\dotnet\\cudart64_*.dll* C:\\WINDOWS\\system32\\cudart64_*.dll* C:\\WINDOWS\\cudart64_*.dll* C:\\WINDOWS\\System32\\Wbem\\cudart64_*.dll* C:\\WINDOWS\\System3\\cudart64_*.dll* C:\\Users\\polyt\\AppData\\Local\\Programs\\Ollama\\cudart64_*.dll* C:\\Users\\polyt\\AppData\\Local\\GitHubDesktop\\bin\\cudart64_*.dll*]" time=2024-05-02T14:02:30.306+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\\Users\\polyt\\AppData\\Local\\Programs\\Ollama\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_100.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_101.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.7\\bin\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.2\\bin\\cudart64_12.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin\\cudart64_110.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_100.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_101.dll C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_65.dll]" wiring cudart library functions in C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_110.dll dlsym: cudaSetDevice dlsym: cudaDeviceSynchronize dlsym: cudaDeviceReset dlsym: cudaMemGetInfo dlsym: cudaGetDeviceCount dlsym: cudaDeviceGetAttribute dlsym: cudaDriverGetVersion CUDA driver version: 12-2 time=2024-05-02T14:02:30.308+08:00 level=INFO source=gpu.go:126 msg="Nvidia GPU detected via cudart" time=2024-05-02T14:02:30.308+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2" [0] CUDA totalMem 4294639616 [0] CUDA freeMem 3136290816 time=2024-05-02T14:02:30.392+08:00 level=INFO source=gpu.go:202 msg="[cudart] CUDART CUDA Compute Capability detected: 7.5" releasing cudart library time=2024-05-02T14:02:30.420+08:00 level=INFO source=server.go:127 msg="offload to gpu" reallayers=33 layers=33 required="8482.3 MiB" used="8482.3 MiB" available="15279.0 MiB" kv="256.0 MiB" fulloffload="164.0 MiB" partialoffload="677.5 MiB" time=2024-05-02T14:02:30.421+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu time=2024-05-02T14:02:30.421+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu_avx time=2024-05-02T14:02:30.421+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu_avx2 time=2024-05-02T14:02:30.421+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cuda_v11.3 time=2024-05-02T14:02:30.421+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\rocm_v5.7 time=2024-05-02T14:02:30.421+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu time=2024-05-02T14:02:30.421+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu_avx time=2024-05-02T14:02:30.422+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cpu_avx2 time=2024-05-02T14:02:30.422+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\cuda_v11.3 time=2024-05-02T14:02:30.422+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama2406829336\runners\rocm_v5.7 time=2024-05-02T14:02:30.422+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2" time=2024-05-02T14:02:30.432+08:00 level=DEBUG source=server.go:259 msg="PATH=D:\\ProgramData\\Anaconda3;D:\\ProgramData\\Anaconda3\\Library\\mingw-w64\\bin;D:\\ProgramData\\Anaconda3\\Library\\usr\\bin;D:\\ProgramData\\Anaconda3\\Library\\bin;D:\\ProgramData\\Anaconda3\\Scripts;D:\\ProgramData\\Anaconda3\\bin;D:\\ProgramData\\Anaconda3\\condabin;C:\\Program Files\\Common Files\\Oracle\\Java\\javapath;C:\\Program Files\\Microsoft MPI\\Bin;C:\\Program Files (x86)\\Common Files\\Intel\\Shared Libraries\\redist\\intel64\\compiler;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\libnvvp;C:\\Program Files\\Python38\\Scripts;C:\\Program Files\\Python38;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\libnvvp;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\libnvvp;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0;C:\\Windows\\System32\\OpenSSH;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\Microsoft SQL Server\\130\\Tools\\Binn;C:\\Program Files\\Microsoft SQL Server\\Client SDK\\ODBC\\170\\Tools\\Binn;C:\\Strawberry\\c\\bin;C:\\Strawberry\\perl\\site\\bin;C:\\Strawberry\\perl\\bin;C:\\Program Files\\Git\\cmd;C:\\ProgramData\\chocolatey\\bin;C:\\Users\\polyt\\Downloads\\apache-ant-1.10.8-bin\\apache-ant-1.10.8\\bin;C:\\Program Files\\Git\\usr\\bin;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0;C:\\WINDOWS\\System32\\OpenSSH;D:\\Program Files (x86)\\SDL International\\SDLX;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0;C:\\WINDOWS\\System32\\OpenSSH;C:\\Program Files\\dotnet;C:\\Program Files\\PuTTY;C:\\Program Files (x86)\\Microsoft SQL Server\\150\\Tools\\Binn;C:\\Program Files\\Microsoft SQL Server\\150\\Tools\\Binn;C:\\Program Files (x86)\\Microsoft SQL Server\\150\\DTS\\Binn;C:\\Program Files\\Microsoft SQL Server\\150\\DTS\\Binn;D:\\ProgramData\\Anaconda3\\Library\\bin;C:\\Program Files (x86)\\NetSarang\\Xshell 7;C:\\Program Files (x86)\\NetSarang\\Xftp 7;C:\\Program Files (x86)\\PDFtk\\bin;D:\\mindopt\\0.15.1\\win64-x86\\bin;D:\\mindopt\\0.15.1\\win64-x86\\lib;C:\\Program Files\\nodejs;C:\\Program Files\\Calibre2;C:\\Program Files\\Docker\\Docker\\resources\\bin;C:\\Program Files\\Pandoc;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2023.3.1;C:\\Users\\polyt\\.cargo\\bin;C:\\Program Files (x86)\\Common Files\\Oracle\\Java\\javapath;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\libnvvp;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\libnvvp;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0;C:\\Windows\\System32\\OpenSSH;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\Microsoft SQL Server\\130\\Tools\\Binn;C:\\Program Files\\Microsoft SQL Server\\Client SDK\\ODBC\\170\\Tools\\Binn;C:\\Strawberry\\c\\bin;C:\\Strawberry\\perl\\site\\bin;C:\\Strawberry\\perl\\bin;C:\\Program Files\\Git\\cmd;C:\\Program Files\\nodejs;C:\\ProgramData\\chocolatey\\bin;X:\\Program Files (x86)\\BaseX\\bin;C:\\Users\\polyt\\Downloads\\apache-ant-1.10.8-bin\\apache-ant-1.10.8\\bin;C:\\Program Files\\Git\\usr\\bin;C:\\Program Files\\dotnet;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System3;C:\\Users\\polyt\\AppData\\Local\\Programs\\Ollama;C:\\Users\\polyt\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\polyt\\AppData\\Local\\Temp\\ollama2406829336\\runners\\cuda_v11.3" time=2024-05-02T14:02:30.432+08:00 level=INFO source=server.go:264 msg="starting llama server" cmd="C:\\Users\\polyt\\AppData\\Local\\Temp\\ollama2406829336\\runners\\cuda_v11.3\\ollama_llama_server.exe --model C:\\Users\\polyt\\.ollama\\models\\blobs\\sha256-09a73f0b7eb0ea0cc700f6e0eb9e06f23d25600232f09c13d77e402cc8f9667e --ctx-size 2048 --batch-size 512 --embedding --log-format json --n-gpu-layers 33 --verbose --port 11348" time=2024-05-02T14:02:30.583+08:00 level=INFO source=server.go:389 msg="waiting for llama runner to start responding" time=2024-05-02T14:02:30.636+08:00 level=DEBUG source=server.go:420 msg="server not yet available" error="health resp: Get \"http://127.0.0.1:11348/health\": dial tcp 127.0.0.1:11348: connectex: No connection could be made because the target machine actively refused it." {"function":"server_params_parse","level":"WARN","line":2494,"msg":"server.cpp is not built with verbose logging.","tid":"22908","timestamp":1714629751} {"build":2679,"commit":"7593639","function":"wmain","level":"INFO","line":2820,"msg":"build info","tid":"22908","timestamp":1714629751} {"function":"wmain","level":"INFO","line":2827,"msg":"system info","n_threads":8,"n_threads_batch":-1,"system_info":"AVX = 1 | AVX_VNNI = 0 | AVX2 = 0 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 0 | NEON = 0 | ARM_FMA = 0 | F16C = 0 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | SSSE3 = 0 | VSX = 0 | MATMUL_INT8 = 0 | ","tid":"22908","timestamp":1714629751,"total_threads":16} llama_model_loader: loaded meta data with 23 key-value pairs and 291 tensors from C:\Users\polyt\.ollama\models\blobs\sha256-09a73f0b7eb0ea0cc700f6e0eb9e06f23d25600232f09c13d77e402cc8f9667e (version GGUF V3 (latest)) llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output. llama_model_loader: - kv 0: general.architecture str = llama llama_model_loader: - kv 1: general.name str = llama-3-chinese-instruct llama_model_loader: - kv 2: llama.block_count u32 = 32 llama_model_loader: - kv 3: llama.context_length u32 = 8192 llama_model_loader: - kv 4: llama.embedding_length u32 = 4096 llama_model_loader: - kv 5: llama.feed_forward_length u32 = 14336 llama_model_loader: - kv 6: llama.attention.head_count u32 = 32 llama_model_loader: - kv 7: llama.attention.head_count_kv u32 = 8 llama_model_loader: - kv 8: llama.rope.freq_base f32 = 500000.000000 llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 = 0.000010 llama_model_loader: - kv 10: general.file_type u32 = 7 llama_model_loader: - kv 11: llama.vocab_size u32 = 128256 llama_model_loader: - kv 12: llama.rope.dimension_count u32 = 128 llama_model_loader: - kv 13: tokenizer.ggml.model str = gpt2 llama_model_loader: - kv 14: tokenizer.ggml.pre str = llama-bpe llama_model_loader: - kv 15: tokenizer.ggml.tokens arr[str,128256] = ["!", "\"", "#", "$", "%", "&", "'", ... llama_model_loader: - kv 16: tokenizer.ggml.token_type arr[i32,128256] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... llama_model_loader: - kv 17: tokenizer.ggml.merges arr[str,280147] = ["Ġ Ġ", "Ġ ĠĠĠ", "ĠĠ ĠĠ", "... llama_model_loader: - kv 18: tokenizer.ggml.bos_token_id u32 = 128000 llama_model_loader: - kv 19: tokenizer.ggml.eos_token_id u32 = 128001 llama_model_loader: - kv 20: tokenizer.ggml.padding_token_id u32 = 128001 llama_model_loader: - kv 21: tokenizer.chat_template str = {% set loop_messages = messages %}{% ... llama_model_loader: - kv 22: general.quantization_version u32 = 2 llama_model_loader: - type f32: 65 tensors llama_model_loader: - type q8_0: 226 tensors time=2024-05-02T14:02:31.386+08:00 level=DEBUG source=server.go:420 msg="server not yet available" error="server not responding" time=2024-05-02T14:02:32.198+08:00 level=DEBUG source=server.go:420 msg="server not yet available" error="health resp: Get \"http://127.0.0.1:11348/health\": dial tcp 127.0.0.1:11348: connectex: No connection could be made because the target machine actively refused it." llm_load_vocab: special tokens definition check successful ( 256/128256 ). llm_load_print_meta: format = GGUF V3 (latest) llm_load_print_meta: arch = llama llm_load_print_meta: vocab type = BPE llm_load_print_meta: n_vocab = 128256 llm_load_print_meta: n_merges = 280147 llm_load_print_meta: n_ctx_train = 8192 llm_load_print_meta: n_embd = 4096 llm_load_print_meta: n_head = 32 llm_load_print_meta: n_head_kv = 8 llm_load_print_meta: n_layer = 32 llm_load_print_meta: n_rot = 128 llm_load_print_meta: n_embd_head_k = 128 llm_load_print_meta: n_embd_head_v = 128 llm_load_print_meta: n_gqa = 4 llm_load_print_meta: n_embd_k_gqa = 1024 llm_load_print_meta: n_embd_v_gqa = 1024 llm_load_print_meta: f_norm_eps = 0.0e+00 llm_load_print_meta: f_norm_rms_eps = 1.0e-05 llm_load_print_meta: f_clamp_kqv = 0.0e+00 llm_load_print_meta: f_max_alibi_bias = 0.0e+00 llm_load_print_meta: f_logit_scale = 0.0e+00 llm_load_print_meta: n_ff = 14336 llm_load_print_meta: n_expert = 0 llm_load_print_meta: n_expert_used = 0 llm_load_print_meta: causal attn = 1 llm_load_print_meta: pooling type = 0 llm_load_print_meta: rope type = 0 llm_load_print_meta: rope scaling = linear llm_load_print_meta: freq_base_train = 500000.0 llm_load_print_meta: freq_scale_train = 1 llm_load_print_meta: n_yarn_orig_ctx = 8192 llm_load_print_meta: rope_finetuned = unknown llm_load_print_meta: ssm_d_conv = 0 llm_load_print_meta: ssm_d_inner = 0 llm_load_print_meta: ssm_d_state = 0 llm_load_print_meta: ssm_dt_rank = 0 llm_load_print_meta: model type = 7B llm_load_print_meta: model ftype = Q8_0 llm_load_print_meta: model params = 8.03 B llm_load_print_meta: model size = 7.95 GiB (8.50 BPW) llm_load_print_meta: general.name = llama-3-chinese-instruct llm_load_print_meta: BOS token = 128000 '<|begin_of_text|>' llm_load_print_meta: EOS token = 128001 '<|end_of_text|>' llm_load_print_meta: PAD token = 128001 '<|end_of_text|>' llm_load_print_meta: LF token = 128 'Ä' ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no ggml_cuda_init: CUDA_USE_TENSOR_CORES: yes ggml_cuda_init: found 1 CUDA devices: Device 0: Quadro RTX 5000, compute capability 7.5, VMM: yes llm_load_tensors: ggml ctx size = 0.22 MiB llm_load_tensors: offloading 32 repeating layers to GPU llm_load_tensors: offloading non-repeating layers to GPU llm_load_tensors: offloaded 33/33 layers to GPU llm_load_tensors: CPU buffer size = 532.31 MiB llm_load_tensors: CUDA0 buffer size = 7605.33 MiB .............................................time=2024-05-02T14:02:41.896+08:00 level=ERROR source=routes.go:120 msg="error loading llama server" error="llama runner process no longer running: 3221225477 " time=2024-05-02T14:02:41.896+08:00 level=DEBUG source=server.go:832 msg="stopping llama server" [GIN] 2024/05/02 - 14:02:41 | 500 | 14.5559664s | 127.0.0.1 | POST "/api/chat"
GiteaMirror commented 2026-04-12 12:51:46 -05:00
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@jiangweiatgithub commented on GitHub (May 2, 2024):

And here is what I got from the server console after I used the 2nd env. var., the one for the CPU:
(base) PS C:\Users\polyt> $env:OLLAMA_LLM_LIBRARY="cpu_avx2"
(base) PS C:\Users\polyt> ollama serve
time=2024-05-02T14:05:04.289+08:00 level=INFO source=images.go:817 msg="total blobs: 81"
time=2024-05-02T14:05:04.298+08:00 level=INFO source=images.go:824 msg="total unused blobs removed: 0"
time=2024-05-02T14:05:04.302+08:00 level=INFO source=routes.go:1143 msg="Listening on 127.0.0.1:11434 (version 0.1.32)"
time=2024-05-02T14:05:04.304+08:00 level=INFO source=payload.go:28 msg="extracting embedded files" dir=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners
time=2024-05-02T14:05:04.304+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu file=build/windows/amd64/cpu/bin/llama.dll.gz
time=2024-05-02T14:05:04.304+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu file=build/windows/amd64/cpu/bin/ollama_llama_server.exe.gz
time=2024-05-02T14:05:04.304+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu_avx file=build/windows/amd64/cpu_avx/bin/llama.dll.gz
time=2024-05-02T14:05:04.305+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu_avx file=build/windows/amd64/cpu_avx/bin/ollama_llama_server.exe.gz
time=2024-05-02T14:05:04.305+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu_avx2 file=build/windows/amd64/cpu_avx2/bin/llama.dll.gz
time=2024-05-02T14:05:04.305+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu_avx2 file=build/windows/amd64/cpu_avx2/bin/ollama_llama_server.exe.gz
time=2024-05-02T14:05:04.305+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cuda_v11.3 file=build/windows/amd64/cuda_v11.3/bin/llama.dll.gz
time=2024-05-02T14:05:04.305+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cuda_v11.3 file=build/windows/amd64/cuda_v11.3/bin/ollama_llama_server.exe.gz
time=2024-05-02T14:05:04.306+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=rocm_v5.7 file=build/windows/amd64/rocm_v5.7/bin/llama.dll.gz
time=2024-05-02T14:05:04.307+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=rocm_v5.7 file=build/windows/amd64/rocm_v5.7/bin/ollama_llama_server.exe.gz
time=2024-05-02T14:05:04.615+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu
time=2024-05-02T14:05:04.615+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu_avx
time=2024-05-02T14:05:04.616+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu_avx2
time=2024-05-02T14:05:04.616+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cuda_v11.3
time=2024-05-02T14:05:04.616+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\rocm_v5.7
time=2024-05-02T14:05:04.616+08:00 level=INFO source=payload.go:41 msg="Dynamic LLM libraries [cpu cpu_avx cpu_avx2 cuda_v11.3 rocm_v5.7]"
time=2024-05-02T14:05:04.616+08:00 level=DEBUG source=payload.go:42 msg="Override detection logic by setting OLLAMA_LLM_LIBRARY"
[GIN] 2024/05/02 - 14:05:13 | 200 | 0s | 127.0.0.1 | HEAD "/"
[GIN] 2024/05/02 - 14:05:13 | 200 | 603.5µs | 127.0.0.1 | POST "/api/show"
[GIN] 2024/05/02 - 14:05:13 | 200 | 1.7258ms | 127.0.0.1 | POST "/api/show"
time=2024-05-02T14:05:13.583+08:00 level=DEBUG source=gguf.go:57 msg="model = &llm.gguf{containerGGUF:(llm.containerGGUF)(0xc00013e440), kv:llm.KV{}, tensors:[]llm.Tensor(nil), parameters:0x0}"
time=2024-05-02T14:05:16.344+08:00 level=DEBUG source=gguf.go:193 msg="general.architecture = llama"
time=2024-05-02T14:05:16.349+08:00 level=INFO source=gpu.go:121 msg="Detecting GPU type"
time=2024-05-02T14:05:16.349+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_.dll"
time=2024-05-02T14:05:16.349+08:00 level=DEBUG source=gpu.go:286 msg="gpu management search paths: [C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v*\bin\cudart64_.dll D:\ProgramData\Anaconda3\cudart64_.dll* D:\ProgramData\Anaconda3\Library\mingw-w64\bin\cudart64_.dll D:\ProgramData\Anaconda3\Library\usr\bin\cudart64_.dll D:\ProgramData\Anaconda3\Library\bin\cudart64_.dll D:\ProgramData\Anaconda3\Scripts\cudart64_.dll D:\ProgramData\Anaconda3\bin\cudart64_.dll D:\ProgramData\Anaconda3\condabin\cudart64_.dll C:\Program Files\Common Files\Oracle\Java\javapath\cudart64_.dll C:\Program Files\Microsoft MPI\Bin\cudart64_.dll C:\Program Files (x86)\Common Files\Intel\Shared Libraries\redist\intel64\compiler\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\libnvvp\cudart64_.dll C:\Program Files\Python38\Scripts\cudart64_.dll C:\Program Files\Python38\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\libnvvp\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\libnvvp\cudart64_.dll C:\Windows\system32\cudart64_.dll C:\Windows\cudart64_.dll C:\Windows\System32\Wbem\cudart64_.dll C:\Windows\System32\WindowsPowerShell\v1.0\cudart64_.dll C:\Windows\System32\OpenSSH\cudart64_.dll C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\cudart64_.dll C:\Program Files\Microsoft SQL Server\130\Tools\Binn\cudart64_.dll C:\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn\cudart64_.dll C:\Strawberry\c\bin\cudart64_.dll C:\Strawberry\perl\site\bin\cudart64_.dll C:\Strawberry\perl\bin\cudart64_.dll C:\Program Files\Git\cmd\cudart64_.dll C:\ProgramData\chocolatey\bin\cudart64_.dll C:\Users\polyt\Downloads\apache-ant-1.10.8-bin\apache-ant-1.10.8\bin\cudart64_.dll C:\Program Files\Git\usr\bin\cudart64_.dll C:\WINDOWS\system32\cudart64_.dll C:\WINDOWS\cudart64_.dll C:\WINDOWS\System32\Wbem\cudart64_.dll C:\WINDOWS\System32\WindowsPowerShell\v1.0\cudart64_.dll C:\WINDOWS\System32\OpenSSH\cudart64_.dll D:\Program Files (x86)\SDL International\SDLX\cudart64_.dll C:\WINDOWS\system32\cudart64_.dll C:\WINDOWS\cudart64_.dll C:\WINDOWS\System32\Wbem\cudart64_.dll C:\WINDOWS\System32\WindowsPowerShell\v1.0\cudart64_.dll C:\WINDOWS\System32\OpenSSH\cudart64_.dll C:\Program Files\dotnet\cudart64_.dll C:\Program Files\PuTTY\cudart64_.dll C:\Program Files (x86)\Microsoft SQL Server\150\Tools\Binn\cudart64_.dll C:\Program Files\Microsoft SQL Server\150\Tools\Binn\cudart64_.dll C:\Program Files (x86)\Microsoft SQL Server\150\DTS\Binn\cudart64_.dll C:\Program Files\Microsoft SQL Server\150\DTS\Binn\cudart64_.dll D:\ProgramData\Anaconda3\Library\bin\cudart64_.dll C:\Program Files (x86)\NetSarang\Xshell 7\cudart64_.dll C:\Program Files (x86)\NetSarang\Xftp 7\cudart64_.dll C:\Program Files (x86)\PDFtk\bin\cudart64_.dll D:\mindopt\0.15.1\win64-x86\bin\cudart64_.dll D:\mindopt\0.15.1\win64-x86\lib\cudart64_.dll C:\Program Files\nodejs\cudart64_.dll C:\Program Files\Calibre2\cudart64_.dll C:\Program Files\Docker\Docker\resources\bin\cudart64_.dll C:\Program Files\Pandoc\cudart64_.dll C:\Program Files\NVIDIA Corporation\Nsight Compute 2023.3.1\cudart64_.dll C:\Users\polyt\.cargo\bin\cudart64_.dll C:\Program Files (x86)\Common Files\Oracle\Java\javapath\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\libnvvp\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\libnvvp\cudart64_.dll C:\Windows\system32\cudart64_.dll C:\Windows\cudart64_.dll C:\Windows\System32\Wbem\cudart64_.dll C:\Windows\System32\WindowsPowerShell\v1.0\cudart64_.dll C:\Windows\System32\OpenSSH\cudart64_.dll C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\cudart64_.dll C:\Program Files\Microsoft SQL Server\130\Tools\Binn\cudart64_.dll C:\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn\cudart64_.dll C:\Strawberry\c\bin\cudart64_.dll C:\Strawberry\perl\site\bin\cudart64_.dll C:\Strawberry\perl\bin\cudart64_.dll C:\Program Files\Git\cmd\cudart64_.dll C:\Program Files\nodejs\cudart64_.dll C:\ProgramData\chocolatey\bin\cudart64_.dll X:\Program Files (x86)\BaseX\bin\cudart64_.dll C:\Users\polyt\Downloads\apache-ant-1.10.8-bin\apache-ant-1.10.8\bin\cudart64_.dll C:\Program Files\Git\usr\bin\cudart64_.dll C:\Program Files\dotnet\cudart64_.dll C:\WINDOWS\system32\cudart64_.dll C:\WINDOWS\cudart64_.dll C:\WINDOWS\System32\Wbem\cudart64_.dll C:\WINDOWS\System3\cudart64_.dll C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_.dll C:\Users\polyt\AppData\Local\GitHubDesktop\bin\cudart64_.dll]"
time=2024-05-02T14:05:16.384+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_100.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_101.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.2\bin\cudart64_12.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\cudart64_110.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_100.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_101.dll C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\cudart64_65.dll]"
wiring cudart library functions in C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_110.dll
dlsym: cudaSetDevice
dlsym: cudaDeviceSynchronize
dlsym: cudaDeviceReset
dlsym: cudaMemGetInfo
dlsym: cudaGetDeviceCount
dlsym: cudaDeviceGetAttribute
dlsym: cudaDriverGetVersion
CUDA driver version: 12-2
time=2024-05-02T14:05:16.426+08:00 level=INFO source=gpu.go:126 msg="Nvidia GPU detected via cudart"
time=2024-05-02T14:05:16.426+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2"
[0] CUDA totalMem 4294639616
[0] CUDA freeMem 3136290816
time=2024-05-02T14:05:16.539+08:00 level=INFO source=gpu.go:202 msg="[cudart] CUDART CUDA Compute Capability detected: 7.5"
releasing cudart library
time=2024-05-02T14:05:16.569+08:00 level=INFO source=gpu.go:121 msg="Detecting GPU type"
time=2024-05-02T14:05:16.570+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_.dll"
time=2024-05-02T14:05:16.570+08:00 level=DEBUG source=gpu.go:286 msg="gpu management search paths: [C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v*\bin\cudart64_.dll D:\ProgramData\Anaconda3\cudart64_.dll* D:\ProgramData\Anaconda3\Library\mingw-w64\bin\cudart64_.dll D:\ProgramData\Anaconda3\Library\usr\bin\cudart64_.dll D:\ProgramData\Anaconda3\Library\bin\cudart64_.dll D:\ProgramData\Anaconda3\Scripts\cudart64_.dll D:\ProgramData\Anaconda3\bin\cudart64_.dll D:\ProgramData\Anaconda3\condabin\cudart64_.dll C:\Program Files\Common Files\Oracle\Java\javapath\cudart64_.dll C:\Program Files\Microsoft MPI\Bin\cudart64_.dll C:\Program Files (x86)\Common Files\Intel\Shared Libraries\redist\intel64\compiler\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\libnvvp\cudart64_.dll C:\Program Files\Python38\Scripts\cudart64_.dll C:\Program Files\Python38\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\libnvvp\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\libnvvp\cudart64_.dll C:\Windows\system32\cudart64_.dll C:\Windows\cudart64_.dll C:\Windows\System32\Wbem\cudart64_.dll C:\Windows\System32\WindowsPowerShell\v1.0\cudart64_.dll C:\Windows\System32\OpenSSH\cudart64_.dll C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\cudart64_.dll C:\Program Files\Microsoft SQL Server\130\Tools\Binn\cudart64_.dll C:\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn\cudart64_.dll C:\Strawberry\c\bin\cudart64_.dll C:\Strawberry\perl\site\bin\cudart64_.dll C:\Strawberry\perl\bin\cudart64_.dll C:\Program Files\Git\cmd\cudart64_.dll C:\ProgramData\chocolatey\bin\cudart64_.dll C:\Users\polyt\Downloads\apache-ant-1.10.8-bin\apache-ant-1.10.8\bin\cudart64_.dll C:\Program Files\Git\usr\bin\cudart64_.dll C:\WINDOWS\system32\cudart64_.dll C:\WINDOWS\cudart64_.dll C:\WINDOWS\System32\Wbem\cudart64_.dll C:\WINDOWS\System32\WindowsPowerShell\v1.0\cudart64_.dll C:\WINDOWS\System32\OpenSSH\cudart64_.dll D:\Program Files (x86)\SDL International\SDLX\cudart64_.dll C:\WINDOWS\system32\cudart64_.dll C:\WINDOWS\cudart64_.dll C:\WINDOWS\System32\Wbem\cudart64_.dll C:\WINDOWS\System32\WindowsPowerShell\v1.0\cudart64_.dll C:\WINDOWS\System32\OpenSSH\cudart64_.dll C:\Program Files\dotnet\cudart64_.dll C:\Program Files\PuTTY\cudart64_.dll C:\Program Files (x86)\Microsoft SQL Server\150\Tools\Binn\cudart64_.dll C:\Program Files\Microsoft SQL Server\150\Tools\Binn\cudart64_.dll C:\Program Files (x86)\Microsoft SQL Server\150\DTS\Binn\cudart64_.dll C:\Program Files\Microsoft SQL Server\150\DTS\Binn\cudart64_.dll D:\ProgramData\Anaconda3\Library\bin\cudart64_.dll C:\Program Files (x86)\NetSarang\Xshell 7\cudart64_.dll C:\Program Files (x86)\NetSarang\Xftp 7\cudart64_.dll C:\Program Files (x86)\PDFtk\bin\cudart64_.dll D:\mindopt\0.15.1\win64-x86\bin\cudart64_.dll D:\mindopt\0.15.1\win64-x86\lib\cudart64_.dll C:\Program Files\nodejs\cudart64_.dll C:\Program Files\Calibre2\cudart64_.dll C:\Program Files\Docker\Docker\resources\bin\cudart64_.dll C:\Program Files\Pandoc\cudart64_.dll C:\Program Files\NVIDIA Corporation\Nsight Compute 2023.3.1\cudart64_.dll C:\Users\polyt\.cargo\bin\cudart64_.dll C:\Program Files (x86)\Common Files\Oracle\Java\javapath\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\libnvvp\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\libnvvp\cudart64_.dll C:\Windows\system32\cudart64_.dll C:\Windows\cudart64_.dll C:\Windows\System32\Wbem\cudart64_.dll C:\Windows\System32\WindowsPowerShell\v1.0\cudart64_.dll C:\Windows\System32\OpenSSH\cudart64_.dll C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\cudart64_.dll C:\Program Files\Microsoft SQL Server\130\Tools\Binn\cudart64_.dll C:\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn\cudart64_.dll C:\Strawberry\c\bin\cudart64_.dll C:\Strawberry\perl\site\bin\cudart64_.dll C:\Strawberry\perl\bin\cudart64_.dll C:\Program Files\Git\cmd\cudart64_.dll C:\Program Files\nodejs\cudart64_.dll C:\ProgramData\chocolatey\bin\cudart64_.dll X:\Program Files (x86)\BaseX\bin\cudart64_.dll C:\Users\polyt\Downloads\apache-ant-1.10.8-bin\apache-ant-1.10.8\bin\cudart64_.dll C:\Program Files\Git\usr\bin\cudart64_.dll C:\Program Files\dotnet\cudart64_.dll C:\WINDOWS\system32\cudart64_.dll C:\WINDOWS\cudart64_.dll C:\WINDOWS\System32\Wbem\cudart64_.dll C:\WINDOWS\System3\cudart64_.dll C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_.dll C:\Users\polyt\AppData\Local\GitHubDesktop\bin\cudart64_.dll]"
time=2024-05-02T14:05:16.599+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_100.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_101.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin\cudart64_110.dll c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.2\bin\cudart64_12.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\cudart64_110.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudart64_100.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudart64_101.dll C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\cudart64_65.dll]"
wiring cudart library functions in C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_110.dll
dlsym: cudaSetDevice
dlsym: cudaDeviceSynchronize
dlsym: cudaDeviceReset
dlsym: cudaMemGetInfo
dlsym: cudaGetDeviceCount
dlsym: cudaDeviceGetAttribute
dlsym: cudaDriverGetVersion
CUDA driver version: 12-2
time=2024-05-02T14:05:16.605+08:00 level=INFO source=gpu.go:126 msg="Nvidia GPU detected via cudart"
time=2024-05-02T14:05:16.605+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2"
[0] CUDA totalMem 4294639616
[0] CUDA freeMem 3136290816
time=2024-05-02T14:05:16.689+08:00 level=INFO source=gpu.go:202 msg="[cudart] CUDART CUDA Compute Capability detected: 7.5"
releasing cudart library
time=2024-05-02T14:05:16.724+08:00 level=INFO source=server.go:127 msg="offload to gpu" reallayers=33 layers=33 required="8482.3 MiB" used="8482.3 MiB" available="15279.0 MiB" kv="256.0 MiB" fulloffload="164.0 MiB" partialoffload="677.5 MiB"
time=2024-05-02T14:05:16.724+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu
time=2024-05-02T14:05:16.724+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu_avx
time=2024-05-02T14:05:16.725+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu_avx2
time=2024-05-02T14:05:16.725+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cuda_v11.3
time=2024-05-02T14:05:16.725+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\rocm_v5.7
time=2024-05-02T14:05:16.725+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu
time=2024-05-02T14:05:16.725+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu_avx
time=2024-05-02T14:05:16.725+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu_avx2
time=2024-05-02T14:05:16.726+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cuda_v11.3
time=2024-05-02T14:05:16.726+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\rocm_v5.7
time=2024-05-02T14:05:16.726+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2"
time=2024-05-02T14:05:16.726+08:00 level=INFO source=server.go:152 msg="user override" OLLAMA_LLM_LIBRARY=cpu_avx2 path=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu_avx2
time=2024-05-02T14:05:16.736+08:00 level=DEBUG source=server.go:259 msg="PATH=D:\ProgramData\Anaconda3;D:\ProgramData\Anaconda3\Library\mingw-w64\bin;D:\ProgramData\Anaconda3\Library\usr\bin;D:\ProgramData\Anaconda3\Library\bin;D:\ProgramData\Anaconda3\Scripts;D:\ProgramData\Anaconda3\bin;D:\ProgramData\Anaconda3\condabin;C:\Program Files\Common Files\Oracle\Java\javapath;C:\Program Files\Microsoft MPI\Bin;C:\Program Files (x86)\Common Files\Intel\Shared Libraries\redist\intel64\compiler;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\libnvvp;C:\Program Files\Python38\Scripts;C:\Program Files\Python38;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\libnvvp;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0;C:\Windows\System32\OpenSSH;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\Microsoft SQL Server\130\Tools\Binn;C:\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn;C:\Strawberry\c\bin;C:\Strawberry\perl\site\bin;C:\Strawberry\perl\bin;C:\Program Files\Git\cmd;C:\ProgramData\chocolatey\bin;C:\Users\polyt\Downloads\apache-ant-1.10.8-bin\apache-ant-1.10.8\bin;C:\Program Files\Git\usr\bin;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0;C:\WINDOWS\System32\OpenSSH;D:\Program Files (x86)\SDL International\SDLX;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0;C:\WINDOWS\System32\OpenSSH;C:\Program Files\dotnet;C:\Program Files\PuTTY;C:\Program Files (x86)\Microsoft SQL Server\150\Tools\Binn;C:\Program Files\Microsoft SQL Server\150\Tools\Binn;C:\Program Files (x86)\Microsoft SQL Server\150\DTS\Binn;C:\Program Files\Microsoft SQL Server\150\DTS\Binn;D:\ProgramData\Anaconda3\Library\bin;C:\Program Files (x86)\NetSarang\Xshell 7;C:\Program Files (x86)\NetSarang\Xftp 7;C:\Program Files (x86)\PDFtk\bin;D:\mindopt\0.15.1\win64-x86\bin;D:\mindopt\0.15.1\win64-x86\lib;C:\Program Files\nodejs;C:\Program Files\Calibre2;C:\Program Files\Docker\Docker\resources\bin;C:\Program Files\Pandoc;C:\Program Files\NVIDIA Corporation\Nsight Compute 2023.3.1;C:\Users\polyt\.cargo\bin;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\libnvvp;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0;C:\Windows\System32\OpenSSH;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\Microsoft SQL Server\130\Tools\Binn;C:\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn;C:\Strawberry\c\bin;C:\Strawberry\perl\site\bin;C:\Strawberry\perl\bin;C:\Program Files\Git\cmd;C:\Program Files\nodejs;C:\ProgramData\chocolatey\bin;X:\Program Files (x86)\BaseX\bin;C:\Users\polyt\Downloads\apache-ant-1.10.8-bin\apache-ant-1.10.8\bin;C:\Program Files\Git\usr\bin;C:\Program Files\dotnet;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System3;C:\Users\polyt\AppData\Local\Programs\Ollama;C:\Users\polyt\AppData\Local\GitHubDesktop\bin;C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu_avx2"
time=2024-05-02T14:05:16.736+08:00 level=INFO source=server.go:264 msg="starting llama server" cmd="C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu_avx2\ollama_llama_server.exe --model C:\Users\polyt\.ollama\models\blobs\sha256-09a73f0b7eb0ea0cc700f6e0eb9e06f23d25600232f09c13d77e402cc8f9667e --ctx-size 2048 --batch-size 512 --embedding --log-format json --n-gpu-layers 33 --verbose --port 11869"
time=2024-05-02T14:05:20.171+08:00 level=INFO source=server.go:389 msg="waiting for llama runner to start responding"
time=2024-05-02T14:05:20.233+08:00 level=DEBUG source=server.go:420 msg="server not yet available" error="health resp: Get "http://127.0.0.1:11869/health": dial tcp 127.0.0.1:11869: connectex: No connection could be made because the target machine actively refused it."
{"function":"server_params_parse","level":"WARN","line":2382,"msg":"Not compiled with GPU offload support, --n-gpu-layers option will be ignored. See main README.md for information on enabling GPU BLAS support","n_gpu_layers":-1,"tid":"23116","timestamp":1714629920}
{"function":"server_params_parse","level":"WARN","line":2494,"msg":"server.cpp is not built with verbose logging.","tid":"23116","timestamp":1714629920}
{"build":2679,"commit":"7593639","function":"wmain","level":"INFO","line":2820,"msg":"build info","tid":"23116","timestamp":1714629920}
{"function":"wmain","level":"INFO","line":2827,"msg":"system info","n_threads":8,"n_threads_batch":-1,"system_info":"AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | SSSE3 = 0 | VSX = 0 | MATMUL_INT8 = 0 | ","tid":"23116","timestamp":1714629920,"total_threads":16}
llama_model_loader: loaded meta data with 23 key-value pairs and 291 tensors from C:\Users\polyt.ollama\models\blobs\sha256-09a73f0b7eb0ea0cc700f6e0eb9e06f23d25600232f09c13d77e402cc8f9667e (version GGUF V3 (latest))
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv 0: general.architecture str = llama
llama_model_loader: - kv 1: general.name str = llama-3-chinese-instruct
llama_model_loader: - kv 2: llama.block_count u32 = 32
llama_model_loader: - kv 3: llama.context_length u32 = 8192
llama_model_loader: - kv 4: llama.embedding_length u32 = 4096
llama_model_loader: - kv 5: llama.feed_forward_length u32 = 14336
llama_model_loader: - kv 6: llama.attention.head_count u32 = 32
llama_model_loader: - kv 7: llama.attention.head_count_kv u32 = 8
llama_model_loader: - kv 8: llama.rope.freq_base f32 = 500000.000000
llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 = 0.000010
llama_model_loader: - kv 10: general.file_type u32 = 7
llama_model_loader: - kv 11: llama.vocab_size u32 = 128256
llama_model_loader: - kv 12: llama.rope.dimension_count u32 = 128
llama_model_loader: - kv 13: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 14: tokenizer.ggml.pre str = llama-bpe
llama_model_loader: - kv 15: tokenizer.ggml.tokens arr[str,128256] = ["!", """, "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 16: tokenizer.ggml.token_type arr[i32,128256] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 17: tokenizer.ggml.merges arr[str,280147] = ["Ġ Ġ", "Ġ ĠĠĠ", "ĠĠ ĠĠ", "...
llama_model_loader: - kv 18: tokenizer.ggml.bos_token_id u32 = 128000
llama_model_loader: - kv 19: tokenizer.ggml.eos_token_id u32 = 128001
llama_model_loader: - kv 20: tokenizer.ggml.padding_token_id u32 = 128001
llama_model_loader: - kv 21: tokenizer.chat_template str = {% set loop_messages = messages %}{% ...
llama_model_loader: - kv 22: general.quantization_version u32 = 2
llama_model_loader: - type f32: 65 tensors
llama_model_loader: - type q8_0: 226 tensors
time=2024-05-02T14:05:20.480+08:00 level=DEBUG source=server.go:420 msg="server not yet available" error="server not responding"
time=2024-05-02T14:05:21.290+08:00 level=DEBUG source=server.go:420 msg="server not yet available" error="health resp: Get "http://127.0.0.1:11869/health": dial tcp 127.0.0.1:11869: connectex: No connection could be made because the target machine actively refused it."
llm_load_vocab: special tokens definition check successful ( 256/128256 ).
llm_load_print_meta: format = GGUF V3 (latest)
llm_load_print_meta: arch = llama
llm_load_print_meta: vocab type = BPE
llm_load_print_meta: n_vocab = 128256
llm_load_print_meta: n_merges = 280147
llm_load_print_meta: n_ctx_train = 8192
llm_load_print_meta: n_embd = 4096
llm_load_print_meta: n_head = 32
llm_load_print_meta: n_head_kv = 8
llm_load_print_meta: n_layer = 32
llm_load_print_meta: n_rot = 128
llm_load_print_meta: n_embd_head_k = 128
llm_load_print_meta: n_embd_head_v = 128
llm_load_print_meta: n_gqa = 4
llm_load_print_meta: n_embd_k_gqa = 1024
llm_load_print_meta: n_embd_v_gqa = 1024
llm_load_print_meta: f_norm_eps = 0.0e+00
llm_load_print_meta: f_norm_rms_eps = 1.0e-05
llm_load_print_meta: f_clamp_kqv = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
llm_load_print_meta: f_logit_scale = 0.0e+00
llm_load_print_meta: n_ff = 14336
llm_load_print_meta: n_expert = 0
llm_load_print_meta: n_expert_used = 0
llm_load_print_meta: causal attn = 1
llm_load_print_meta: pooling type = 0
llm_load_print_meta: rope type = 0
llm_load_print_meta: rope scaling = linear
llm_load_print_meta: freq_base_train = 500000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx = 8192
llm_load_print_meta: rope_finetuned = unknown
llm_load_print_meta: ssm_d_conv = 0
llm_load_print_meta: ssm_d_inner = 0
llm_load_print_meta: ssm_d_state = 0
llm_load_print_meta: ssm_dt_rank = 0
llm_load_print_meta: model type = 7B
llm_load_print_meta: model ftype = Q8_0
llm_load_print_meta: model params = 8.03 B
llm_load_print_meta: model size = 7.95 GiB (8.50 BPW)
llm_load_print_meta: general.name = llama-3-chinese-instruct
llm_load_print_meta: BOS token = 128000 '<|begin_of_text|>'
llm_load_print_meta: EOS token = 128001 '<|end_of_text|>'
llm_load_print_meta: PAD token = 128001 '<|end_of_text|>'
llm_load_print_meta: LF token = 128 'Ä'
llm_load_tensors: ggml ctx size = 0.11 MiB
llm_load_tensors: CPU buffer size = 8137.64 MiB
.........................................................................................
llama_new_context_with_model: n_ctx = 2048
llama_new_context_with_model: n_batch = 512
llama_new_context_with_model: n_ubatch = 512
llama_new_context_with_model: freq_base = 500000.0
llama_new_context_with_model: freq_scale = 1
llama_kv_cache_init: CPU KV buffer size = 256.00 MiB
llama_new_context_with_model: KV self size = 256.00 MiB, K (f16): 128.00 MiB, V (f16): 128.00 MiB
llama_new_context_with_model: CPU output buffer size = 0.50 MiB
llama_new_context_with_model: CPU compute buffer size = 258.50 MiB
llama_new_context_with_model: graph nodes = 1030
llama_new_context_with_model: graph splits = 1
time=2024-05-02T14:05:22.730+08:00 level=ERROR source=routes.go:120 msg="error loading llama server" error="llama runner process no longer running: 3221225477 "
time=2024-05-02T14:05:22.730+08:00 level=DEBUG source=server.go:832 msg="stopping llama server"
[GIN] 2024/05/02 - 14:05:22 | 500 | 9.1479345s | 127.0.0.1 | POST "/api/chat"

<!-- gh-comment-id:2089651081 --> @jiangweiatgithub commented on GitHub (May 2, 2024): And here is what I got from the server console after I used the 2nd env. var., the one for the CPU: (base) PS C:\Users\polyt> $env:OLLAMA_LLM_LIBRARY="cpu_avx2" (base) PS C:\Users\polyt> ollama serve time=2024-05-02T14:05:04.289+08:00 level=INFO source=images.go:817 msg="total blobs: 81" time=2024-05-02T14:05:04.298+08:00 level=INFO source=images.go:824 msg="total unused blobs removed: 0" time=2024-05-02T14:05:04.302+08:00 level=INFO source=routes.go:1143 msg="Listening on 127.0.0.1:11434 (version 0.1.32)" time=2024-05-02T14:05:04.304+08:00 level=INFO source=payload.go:28 msg="extracting embedded files" dir=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners time=2024-05-02T14:05:04.304+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu file=build/windows/amd64/cpu/bin/llama.dll.gz time=2024-05-02T14:05:04.304+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu file=build/windows/amd64/cpu/bin/ollama_llama_server.exe.gz time=2024-05-02T14:05:04.304+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu_avx file=build/windows/amd64/cpu_avx/bin/llama.dll.gz time=2024-05-02T14:05:04.305+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu_avx file=build/windows/amd64/cpu_avx/bin/ollama_llama_server.exe.gz time=2024-05-02T14:05:04.305+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu_avx2 file=build/windows/amd64/cpu_avx2/bin/llama.dll.gz time=2024-05-02T14:05:04.305+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cpu_avx2 file=build/windows/amd64/cpu_avx2/bin/ollama_llama_server.exe.gz time=2024-05-02T14:05:04.305+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cuda_v11.3 file=build/windows/amd64/cuda_v11.3/bin/llama.dll.gz time=2024-05-02T14:05:04.305+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=cuda_v11.3 file=build/windows/amd64/cuda_v11.3/bin/ollama_llama_server.exe.gz time=2024-05-02T14:05:04.306+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=rocm_v5.7 file=build/windows/amd64/rocm_v5.7/bin/llama.dll.gz time=2024-05-02T14:05:04.307+08:00 level=DEBUG source=payload.go:160 msg=extracting variant=rocm_v5.7 file=build/windows/amd64/rocm_v5.7/bin/ollama_llama_server.exe.gz time=2024-05-02T14:05:04.615+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu time=2024-05-02T14:05:04.615+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu_avx time=2024-05-02T14:05:04.616+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu_avx2 time=2024-05-02T14:05:04.616+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cuda_v11.3 time=2024-05-02T14:05:04.616+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\rocm_v5.7 time=2024-05-02T14:05:04.616+08:00 level=INFO source=payload.go:41 msg="Dynamic LLM libraries [cpu cpu_avx cpu_avx2 cuda_v11.3 rocm_v5.7]" time=2024-05-02T14:05:04.616+08:00 level=DEBUG source=payload.go:42 msg="Override detection logic by setting OLLAMA_LLM_LIBRARY" [GIN] 2024/05/02 - 14:05:13 | 200 | 0s | 127.0.0.1 | HEAD "/" [GIN] 2024/05/02 - 14:05:13 | 200 | 603.5µs | 127.0.0.1 | POST "/api/show" [GIN] 2024/05/02 - 14:05:13 | 200 | 1.7258ms | 127.0.0.1 | POST "/api/show" time=2024-05-02T14:05:13.583+08:00 level=DEBUG source=gguf.go:57 msg="model = &llm.gguf{containerGGUF:(*llm.containerGGUF)(0xc00013e440), kv:llm.KV{}, tensors:[]*llm.Tensor(nil), parameters:0x0}" time=2024-05-02T14:05:16.344+08:00 level=DEBUG source=gguf.go:193 msg="general.architecture = llama" time=2024-05-02T14:05:16.349+08:00 level=INFO source=gpu.go:121 msg="Detecting GPU type" time=2024-05-02T14:05:16.349+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_*.dll" time=2024-05-02T14:05:16.349+08:00 level=DEBUG source=gpu.go:286 msg="gpu management search paths: [C:\\Users\\polyt\\AppData\\Local\\Programs\\Ollama\\cudart64_*.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v*\\bin\\cudart64_*.dll D:\\ProgramData\\Anaconda3\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Library\\mingw-w64\\bin\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Library\\usr\\bin\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Library\\bin\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Scripts\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\bin\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\condabin\\cudart64_*.dll* C:\\Program Files\\Common Files\\Oracle\\Java\\javapath\\cudart64_*.dll* C:\\Program Files\\Microsoft MPI\\Bin\\cudart64_*.dll* C:\\Program Files (x86)\\Common Files\\Intel\\Shared Libraries\\redist\\intel64\\compiler\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\libnvvp\\cudart64_*.dll* C:\\Program Files\\Python38\\Scripts\\cudart64_*.dll* C:\\Program Files\\Python38\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\libnvvp\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\libnvvp\\cudart64_*.dll* C:\\Windows\\system32\\cudart64_*.dll* C:\\Windows\\cudart64_*.dll* C:\\Windows\\System32\\Wbem\\cudart64_*.dll* C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\cudart64_*.dll* C:\\Windows\\System32\\OpenSSH\\cudart64_*.dll* C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\130\\Tools\\Binn\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\Client SDK\\ODBC\\170\\Tools\\Binn\\cudart64_*.dll* C:\\Strawberry\\c\\bin\\cudart64_*.dll* C:\\Strawberry\\perl\\site\\bin\\cudart64_*.dll* C:\\Strawberry\\perl\\bin\\cudart64_*.dll* C:\\Program Files\\Git\\cmd\\cudart64_*.dll* C:\\ProgramData\\chocolatey\\bin\\cudart64_*.dll* C:\\Users\\polyt\\Downloads\\apache-ant-1.10.8-bin\\apache-ant-1.10.8\\bin\\cudart64_*.dll* C:\\Program Files\\Git\\usr\\bin\\cudart64_*.dll* C:\\WINDOWS\\system32\\cudart64_*.dll* C:\\WINDOWS\\cudart64_*.dll* C:\\WINDOWS\\System32\\Wbem\\cudart64_*.dll* C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\cudart64_*.dll* C:\\WINDOWS\\System32\\OpenSSH\\cudart64_*.dll* D:\\Program Files (x86)\\SDL International\\SDLX\\cudart64_*.dll* C:\\WINDOWS\\system32\\cudart64_*.dll* C:\\WINDOWS\\cudart64_*.dll* C:\\WINDOWS\\System32\\Wbem\\cudart64_*.dll* C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\cudart64_*.dll* C:\\WINDOWS\\System32\\OpenSSH\\cudart64_*.dll* C:\\Program Files\\dotnet\\cudart64_*.dll* C:\\Program Files\\PuTTY\\cudart64_*.dll* C:\\Program Files (x86)\\Microsoft SQL Server\\150\\Tools\\Binn\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\150\\Tools\\Binn\\cudart64_*.dll* C:\\Program Files (x86)\\Microsoft SQL Server\\150\\DTS\\Binn\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\150\\DTS\\Binn\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Library\\bin\\cudart64_*.dll* C:\\Program Files (x86)\\NetSarang\\Xshell 7\\cudart64_*.dll* C:\\Program Files (x86)\\NetSarang\\Xftp 7\\cudart64_*.dll* C:\\Program Files (x86)\\PDFtk\\bin\\cudart64_*.dll* D:\\mindopt\\0.15.1\\win64-x86\\bin\\cudart64_*.dll* D:\\mindopt\\0.15.1\\win64-x86\\lib\\cudart64_*.dll* C:\\Program Files\\nodejs\\cudart64_*.dll* C:\\Program Files\\Calibre2\\cudart64_*.dll* C:\\Program Files\\Docker\\Docker\\resources\\bin\\cudart64_*.dll* C:\\Program Files\\Pandoc\\cudart64_*.dll* C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2023.3.1\\cudart64_*.dll* C:\\Users\\polyt\\.cargo\\bin\\cudart64_*.dll* C:\\Program Files (x86)\\Common Files\\Oracle\\Java\\javapath\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\libnvvp\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\libnvvp\\cudart64_*.dll* C:\\Windows\\system32\\cudart64_*.dll* C:\\Windows\\cudart64_*.dll* C:\\Windows\\System32\\Wbem\\cudart64_*.dll* C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\cudart64_*.dll* C:\\Windows\\System32\\OpenSSH\\cudart64_*.dll* C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\130\\Tools\\Binn\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\Client SDK\\ODBC\\170\\Tools\\Binn\\cudart64_*.dll* C:\\Strawberry\\c\\bin\\cudart64_*.dll* C:\\Strawberry\\perl\\site\\bin\\cudart64_*.dll* C:\\Strawberry\\perl\\bin\\cudart64_*.dll* C:\\Program Files\\Git\\cmd\\cudart64_*.dll* C:\\Program Files\\nodejs\\cudart64_*.dll* C:\\ProgramData\\chocolatey\\bin\\cudart64_*.dll* X:\\Program Files (x86)\\BaseX\\bin\\cudart64_*.dll* C:\\Users\\polyt\\Downloads\\apache-ant-1.10.8-bin\\apache-ant-1.10.8\\bin\\cudart64_*.dll* C:\\Program Files\\Git\\usr\\bin\\cudart64_*.dll* C:\\Program Files\\dotnet\\cudart64_*.dll* C:\\WINDOWS\\system32\\cudart64_*.dll* C:\\WINDOWS\\cudart64_*.dll* C:\\WINDOWS\\System32\\Wbem\\cudart64_*.dll* C:\\WINDOWS\\System3\\cudart64_*.dll* C:\\Users\\polyt\\AppData\\Local\\Programs\\Ollama\\cudart64_*.dll* C:\\Users\\polyt\\AppData\\Local\\GitHubDesktop\\bin\\cudart64_*.dll*]" time=2024-05-02T14:05:16.384+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\\Users\\polyt\\AppData\\Local\\Programs\\Ollama\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_100.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_101.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.7\\bin\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.2\\bin\\cudart64_12.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin\\cudart64_110.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_100.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_101.dll C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_65.dll]" wiring cudart library functions in C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_110.dll dlsym: cudaSetDevice dlsym: cudaDeviceSynchronize dlsym: cudaDeviceReset dlsym: cudaMemGetInfo dlsym: cudaGetDeviceCount dlsym: cudaDeviceGetAttribute dlsym: cudaDriverGetVersion CUDA driver version: 12-2 time=2024-05-02T14:05:16.426+08:00 level=INFO source=gpu.go:126 msg="Nvidia GPU detected via cudart" time=2024-05-02T14:05:16.426+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2" [0] CUDA totalMem 4294639616 [0] CUDA freeMem 3136290816 time=2024-05-02T14:05:16.539+08:00 level=INFO source=gpu.go:202 msg="[cudart] CUDART CUDA Compute Capability detected: 7.5" releasing cudart library time=2024-05-02T14:05:16.569+08:00 level=INFO source=gpu.go:121 msg="Detecting GPU type" time=2024-05-02T14:05:16.570+08:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_*.dll" time=2024-05-02T14:05:16.570+08:00 level=DEBUG source=gpu.go:286 msg="gpu management search paths: [C:\\Users\\polyt\\AppData\\Local\\Programs\\Ollama\\cudart64_*.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v*\\bin\\cudart64_*.dll D:\\ProgramData\\Anaconda3\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Library\\mingw-w64\\bin\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Library\\usr\\bin\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Library\\bin\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Scripts\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\bin\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\condabin\\cudart64_*.dll* C:\\Program Files\\Common Files\\Oracle\\Java\\javapath\\cudart64_*.dll* C:\\Program Files\\Microsoft MPI\\Bin\\cudart64_*.dll* C:\\Program Files (x86)\\Common Files\\Intel\\Shared Libraries\\redist\\intel64\\compiler\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\libnvvp\\cudart64_*.dll* C:\\Program Files\\Python38\\Scripts\\cudart64_*.dll* C:\\Program Files\\Python38\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\libnvvp\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\libnvvp\\cudart64_*.dll* C:\\Windows\\system32\\cudart64_*.dll* C:\\Windows\\cudart64_*.dll* C:\\Windows\\System32\\Wbem\\cudart64_*.dll* C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\cudart64_*.dll* C:\\Windows\\System32\\OpenSSH\\cudart64_*.dll* C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\130\\Tools\\Binn\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\Client SDK\\ODBC\\170\\Tools\\Binn\\cudart64_*.dll* C:\\Strawberry\\c\\bin\\cudart64_*.dll* C:\\Strawberry\\perl\\site\\bin\\cudart64_*.dll* C:\\Strawberry\\perl\\bin\\cudart64_*.dll* C:\\Program Files\\Git\\cmd\\cudart64_*.dll* C:\\ProgramData\\chocolatey\\bin\\cudart64_*.dll* C:\\Users\\polyt\\Downloads\\apache-ant-1.10.8-bin\\apache-ant-1.10.8\\bin\\cudart64_*.dll* C:\\Program Files\\Git\\usr\\bin\\cudart64_*.dll* C:\\WINDOWS\\system32\\cudart64_*.dll* C:\\WINDOWS\\cudart64_*.dll* C:\\WINDOWS\\System32\\Wbem\\cudart64_*.dll* C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\cudart64_*.dll* C:\\WINDOWS\\System32\\OpenSSH\\cudart64_*.dll* D:\\Program Files (x86)\\SDL International\\SDLX\\cudart64_*.dll* C:\\WINDOWS\\system32\\cudart64_*.dll* C:\\WINDOWS\\cudart64_*.dll* C:\\WINDOWS\\System32\\Wbem\\cudart64_*.dll* C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\cudart64_*.dll* C:\\WINDOWS\\System32\\OpenSSH\\cudart64_*.dll* C:\\Program Files\\dotnet\\cudart64_*.dll* C:\\Program Files\\PuTTY\\cudart64_*.dll* C:\\Program Files (x86)\\Microsoft SQL Server\\150\\Tools\\Binn\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\150\\Tools\\Binn\\cudart64_*.dll* C:\\Program Files (x86)\\Microsoft SQL Server\\150\\DTS\\Binn\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\150\\DTS\\Binn\\cudart64_*.dll* D:\\ProgramData\\Anaconda3\\Library\\bin\\cudart64_*.dll* C:\\Program Files (x86)\\NetSarang\\Xshell 7\\cudart64_*.dll* C:\\Program Files (x86)\\NetSarang\\Xftp 7\\cudart64_*.dll* C:\\Program Files (x86)\\PDFtk\\bin\\cudart64_*.dll* D:\\mindopt\\0.15.1\\win64-x86\\bin\\cudart64_*.dll* D:\\mindopt\\0.15.1\\win64-x86\\lib\\cudart64_*.dll* C:\\Program Files\\nodejs\\cudart64_*.dll* C:\\Program Files\\Calibre2\\cudart64_*.dll* C:\\Program Files\\Docker\\Docker\\resources\\bin\\cudart64_*.dll* C:\\Program Files\\Pandoc\\cudart64_*.dll* C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2023.3.1\\cudart64_*.dll* C:\\Users\\polyt\\.cargo\\bin\\cudart64_*.dll* C:\\Program Files (x86)\\Common Files\\Oracle\\Java\\javapath\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\libnvvp\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_*.dll* C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\libnvvp\\cudart64_*.dll* C:\\Windows\\system32\\cudart64_*.dll* C:\\Windows\\cudart64_*.dll* C:\\Windows\\System32\\Wbem\\cudart64_*.dll* C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\cudart64_*.dll* C:\\Windows\\System32\\OpenSSH\\cudart64_*.dll* C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\130\\Tools\\Binn\\cudart64_*.dll* C:\\Program Files\\Microsoft SQL Server\\Client SDK\\ODBC\\170\\Tools\\Binn\\cudart64_*.dll* C:\\Strawberry\\c\\bin\\cudart64_*.dll* C:\\Strawberry\\perl\\site\\bin\\cudart64_*.dll* C:\\Strawberry\\perl\\bin\\cudart64_*.dll* C:\\Program Files\\Git\\cmd\\cudart64_*.dll* C:\\Program Files\\nodejs\\cudart64_*.dll* C:\\ProgramData\\chocolatey\\bin\\cudart64_*.dll* X:\\Program Files (x86)\\BaseX\\bin\\cudart64_*.dll* C:\\Users\\polyt\\Downloads\\apache-ant-1.10.8-bin\\apache-ant-1.10.8\\bin\\cudart64_*.dll* C:\\Program Files\\Git\\usr\\bin\\cudart64_*.dll* C:\\Program Files\\dotnet\\cudart64_*.dll* C:\\WINDOWS\\system32\\cudart64_*.dll* C:\\WINDOWS\\cudart64_*.dll* C:\\WINDOWS\\System32\\Wbem\\cudart64_*.dll* C:\\WINDOWS\\System3\\cudart64_*.dll* C:\\Users\\polyt\\AppData\\Local\\Programs\\Ollama\\cudart64_*.dll* C:\\Users\\polyt\\AppData\\Local\\GitHubDesktop\\bin\\cudart64_*.dll*]" time=2024-05-02T14:05:16.599+08:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\\Users\\polyt\\AppData\\Local\\Programs\\Ollama\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_100.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_101.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.7\\bin\\cudart64_110.dll c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.2\\bin\\cudart64_12.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin\\cudart64_110.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_100.dll C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\cudart64_101.dll C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_65.dll]" wiring cudart library functions in C:\Users\polyt\AppData\Local\Programs\Ollama\cudart64_110.dll dlsym: cudaSetDevice dlsym: cudaDeviceSynchronize dlsym: cudaDeviceReset dlsym: cudaMemGetInfo dlsym: cudaGetDeviceCount dlsym: cudaDeviceGetAttribute dlsym: cudaDriverGetVersion CUDA driver version: 12-2 time=2024-05-02T14:05:16.605+08:00 level=INFO source=gpu.go:126 msg="Nvidia GPU detected via cudart" time=2024-05-02T14:05:16.605+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2" [0] CUDA totalMem 4294639616 [0] CUDA freeMem 3136290816 time=2024-05-02T14:05:16.689+08:00 level=INFO source=gpu.go:202 msg="[cudart] CUDART CUDA Compute Capability detected: 7.5" releasing cudart library time=2024-05-02T14:05:16.724+08:00 level=INFO source=server.go:127 msg="offload to gpu" reallayers=33 layers=33 required="8482.3 MiB" used="8482.3 MiB" available="15279.0 MiB" kv="256.0 MiB" fulloffload="164.0 MiB" partialoffload="677.5 MiB" time=2024-05-02T14:05:16.724+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu time=2024-05-02T14:05:16.724+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu_avx time=2024-05-02T14:05:16.725+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu_avx2 time=2024-05-02T14:05:16.725+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cuda_v11.3 time=2024-05-02T14:05:16.725+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\rocm_v5.7 time=2024-05-02T14:05:16.725+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu time=2024-05-02T14:05:16.725+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu_avx time=2024-05-02T14:05:16.725+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu_avx2 time=2024-05-02T14:05:16.726+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cuda_v11.3 time=2024-05-02T14:05:16.726+08:00 level=DEBUG source=payload.go:68 msg="availableServers : found" file=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\rocm_v5.7 time=2024-05-02T14:05:16.726+08:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2" time=2024-05-02T14:05:16.726+08:00 level=INFO source=server.go:152 msg="user override" OLLAMA_LLM_LIBRARY=cpu_avx2 path=C:\Users\polyt\AppData\Local\Temp\ollama1171806004\runners\cpu_avx2 time=2024-05-02T14:05:16.736+08:00 level=DEBUG source=server.go:259 msg="PATH=D:\\ProgramData\\Anaconda3;D:\\ProgramData\\Anaconda3\\Library\\mingw-w64\\bin;D:\\ProgramData\\Anaconda3\\Library\\usr\\bin;D:\\ProgramData\\Anaconda3\\Library\\bin;D:\\ProgramData\\Anaconda3\\Scripts;D:\\ProgramData\\Anaconda3\\bin;D:\\ProgramData\\Anaconda3\\condabin;C:\\Program Files\\Common Files\\Oracle\\Java\\javapath;C:\\Program Files\\Microsoft MPI\\Bin;C:\\Program Files (x86)\\Common Files\\Intel\\Shared Libraries\\redist\\intel64\\compiler;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\libnvvp;C:\\Program Files\\Python38\\Scripts;C:\\Program Files\\Python38;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\libnvvp;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\libnvvp;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0;C:\\Windows\\System32\\OpenSSH;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\Microsoft SQL Server\\130\\Tools\\Binn;C:\\Program Files\\Microsoft SQL Server\\Client SDK\\ODBC\\170\\Tools\\Binn;C:\\Strawberry\\c\\bin;C:\\Strawberry\\perl\\site\\bin;C:\\Strawberry\\perl\\bin;C:\\Program Files\\Git\\cmd;C:\\ProgramData\\chocolatey\\bin;C:\\Users\\polyt\\Downloads\\apache-ant-1.10.8-bin\\apache-ant-1.10.8\\bin;C:\\Program Files\\Git\\usr\\bin;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0;C:\\WINDOWS\\System32\\OpenSSH;D:\\Program Files (x86)\\SDL International\\SDLX;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0;C:\\WINDOWS\\System32\\OpenSSH;C:\\Program Files\\dotnet;C:\\Program Files\\PuTTY;C:\\Program Files (x86)\\Microsoft SQL Server\\150\\Tools\\Binn;C:\\Program Files\\Microsoft SQL Server\\150\\Tools\\Binn;C:\\Program Files (x86)\\Microsoft SQL Server\\150\\DTS\\Binn;C:\\Program Files\\Microsoft SQL Server\\150\\DTS\\Binn;D:\\ProgramData\\Anaconda3\\Library\\bin;C:\\Program Files (x86)\\NetSarang\\Xshell 7;C:\\Program Files (x86)\\NetSarang\\Xftp 7;C:\\Program Files (x86)\\PDFtk\\bin;D:\\mindopt\\0.15.1\\win64-x86\\bin;D:\\mindopt\\0.15.1\\win64-x86\\lib;C:\\Program Files\\nodejs;C:\\Program Files\\Calibre2;C:\\Program Files\\Docker\\Docker\\resources\\bin;C:\\Program Files\\Pandoc;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2023.3.1;C:\\Users\\polyt\\.cargo\\bin;C:\\Program Files (x86)\\Common Files\\Oracle\\Java\\javapath;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\libnvvp;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\libnvvp;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0;C:\\Windows\\System32\\OpenSSH;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\Microsoft SQL Server\\130\\Tools\\Binn;C:\\Program Files\\Microsoft SQL Server\\Client SDK\\ODBC\\170\\Tools\\Binn;C:\\Strawberry\\c\\bin;C:\\Strawberry\\perl\\site\\bin;C:\\Strawberry\\perl\\bin;C:\\Program Files\\Git\\cmd;C:\\Program Files\\nodejs;C:\\ProgramData\\chocolatey\\bin;X:\\Program Files (x86)\\BaseX\\bin;C:\\Users\\polyt\\Downloads\\apache-ant-1.10.8-bin\\apache-ant-1.10.8\\bin;C:\\Program Files\\Git\\usr\\bin;C:\\Program Files\\dotnet;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System3;C:\\Users\\polyt\\AppData\\Local\\Programs\\Ollama;C:\\Users\\polyt\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\polyt\\AppData\\Local\\Temp\\ollama1171806004\\runners\\cpu_avx2" time=2024-05-02T14:05:16.736+08:00 level=INFO source=server.go:264 msg="starting llama server" cmd="C:\\Users\\polyt\\AppData\\Local\\Temp\\ollama1171806004\\runners\\cpu_avx2\\ollama_llama_server.exe --model C:\\Users\\polyt\\.ollama\\models\\blobs\\sha256-09a73f0b7eb0ea0cc700f6e0eb9e06f23d25600232f09c13d77e402cc8f9667e --ctx-size 2048 --batch-size 512 --embedding --log-format json --n-gpu-layers 33 --verbose --port 11869" time=2024-05-02T14:05:20.171+08:00 level=INFO source=server.go:389 msg="waiting for llama runner to start responding" time=2024-05-02T14:05:20.233+08:00 level=DEBUG source=server.go:420 msg="server not yet available" error="health resp: Get \"http://127.0.0.1:11869/health\": dial tcp 127.0.0.1:11869: connectex: No connection could be made because the target machine actively refused it." {"function":"server_params_parse","level":"WARN","line":2382,"msg":"Not compiled with GPU offload support, --n-gpu-layers option will be ignored. See main README.md for information on enabling GPU BLAS support","n_gpu_layers":-1,"tid":"23116","timestamp":1714629920} {"function":"server_params_parse","level":"WARN","line":2494,"msg":"server.cpp is not built with verbose logging.","tid":"23116","timestamp":1714629920} {"build":2679,"commit":"7593639","function":"wmain","level":"INFO","line":2820,"msg":"build info","tid":"23116","timestamp":1714629920} {"function":"wmain","level":"INFO","line":2827,"msg":"system info","n_threads":8,"n_threads_batch":-1,"system_info":"AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | SSSE3 = 0 | VSX = 0 | MATMUL_INT8 = 0 | ","tid":"23116","timestamp":1714629920,"total_threads":16} llama_model_loader: loaded meta data with 23 key-value pairs and 291 tensors from C:\Users\polyt\.ollama\models\blobs\sha256-09a73f0b7eb0ea0cc700f6e0eb9e06f23d25600232f09c13d77e402cc8f9667e (version GGUF V3 (latest)) llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output. llama_model_loader: - kv 0: general.architecture str = llama llama_model_loader: - kv 1: general.name str = llama-3-chinese-instruct llama_model_loader: - kv 2: llama.block_count u32 = 32 llama_model_loader: - kv 3: llama.context_length u32 = 8192 llama_model_loader: - kv 4: llama.embedding_length u32 = 4096 llama_model_loader: - kv 5: llama.feed_forward_length u32 = 14336 llama_model_loader: - kv 6: llama.attention.head_count u32 = 32 llama_model_loader: - kv 7: llama.attention.head_count_kv u32 = 8 llama_model_loader: - kv 8: llama.rope.freq_base f32 = 500000.000000 llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 = 0.000010 llama_model_loader: - kv 10: general.file_type u32 = 7 llama_model_loader: - kv 11: llama.vocab_size u32 = 128256 llama_model_loader: - kv 12: llama.rope.dimension_count u32 = 128 llama_model_loader: - kv 13: tokenizer.ggml.model str = gpt2 llama_model_loader: - kv 14: tokenizer.ggml.pre str = llama-bpe llama_model_loader: - kv 15: tokenizer.ggml.tokens arr[str,128256] = ["!", "\"", "#", "$", "%", "&", "'", ... llama_model_loader: - kv 16: tokenizer.ggml.token_type arr[i32,128256] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... llama_model_loader: - kv 17: tokenizer.ggml.merges arr[str,280147] = ["Ġ Ġ", "Ġ ĠĠĠ", "ĠĠ ĠĠ", "... llama_model_loader: - kv 18: tokenizer.ggml.bos_token_id u32 = 128000 llama_model_loader: - kv 19: tokenizer.ggml.eos_token_id u32 = 128001 llama_model_loader: - kv 20: tokenizer.ggml.padding_token_id u32 = 128001 llama_model_loader: - kv 21: tokenizer.chat_template str = {% set loop_messages = messages %}{% ... llama_model_loader: - kv 22: general.quantization_version u32 = 2 llama_model_loader: - type f32: 65 tensors llama_model_loader: - type q8_0: 226 tensors time=2024-05-02T14:05:20.480+08:00 level=DEBUG source=server.go:420 msg="server not yet available" error="server not responding" time=2024-05-02T14:05:21.290+08:00 level=DEBUG source=server.go:420 msg="server not yet available" error="health resp: Get \"http://127.0.0.1:11869/health\": dial tcp 127.0.0.1:11869: connectex: No connection could be made because the target machine actively refused it." llm_load_vocab: special tokens definition check successful ( 256/128256 ). llm_load_print_meta: format = GGUF V3 (latest) llm_load_print_meta: arch = llama llm_load_print_meta: vocab type = BPE llm_load_print_meta: n_vocab = 128256 llm_load_print_meta: n_merges = 280147 llm_load_print_meta: n_ctx_train = 8192 llm_load_print_meta: n_embd = 4096 llm_load_print_meta: n_head = 32 llm_load_print_meta: n_head_kv = 8 llm_load_print_meta: n_layer = 32 llm_load_print_meta: n_rot = 128 llm_load_print_meta: n_embd_head_k = 128 llm_load_print_meta: n_embd_head_v = 128 llm_load_print_meta: n_gqa = 4 llm_load_print_meta: n_embd_k_gqa = 1024 llm_load_print_meta: n_embd_v_gqa = 1024 llm_load_print_meta: f_norm_eps = 0.0e+00 llm_load_print_meta: f_norm_rms_eps = 1.0e-05 llm_load_print_meta: f_clamp_kqv = 0.0e+00 llm_load_print_meta: f_max_alibi_bias = 0.0e+00 llm_load_print_meta: f_logit_scale = 0.0e+00 llm_load_print_meta: n_ff = 14336 llm_load_print_meta: n_expert = 0 llm_load_print_meta: n_expert_used = 0 llm_load_print_meta: causal attn = 1 llm_load_print_meta: pooling type = 0 llm_load_print_meta: rope type = 0 llm_load_print_meta: rope scaling = linear llm_load_print_meta: freq_base_train = 500000.0 llm_load_print_meta: freq_scale_train = 1 llm_load_print_meta: n_yarn_orig_ctx = 8192 llm_load_print_meta: rope_finetuned = unknown llm_load_print_meta: ssm_d_conv = 0 llm_load_print_meta: ssm_d_inner = 0 llm_load_print_meta: ssm_d_state = 0 llm_load_print_meta: ssm_dt_rank = 0 llm_load_print_meta: model type = 7B llm_load_print_meta: model ftype = Q8_0 llm_load_print_meta: model params = 8.03 B llm_load_print_meta: model size = 7.95 GiB (8.50 BPW) llm_load_print_meta: general.name = llama-3-chinese-instruct llm_load_print_meta: BOS token = 128000 '<|begin_of_text|>' llm_load_print_meta: EOS token = 128001 '<|end_of_text|>' llm_load_print_meta: PAD token = 128001 '<|end_of_text|>' llm_load_print_meta: LF token = 128 'Ä' llm_load_tensors: ggml ctx size = 0.11 MiB llm_load_tensors: CPU buffer size = 8137.64 MiB ......................................................................................... llama_new_context_with_model: n_ctx = 2048 llama_new_context_with_model: n_batch = 512 llama_new_context_with_model: n_ubatch = 512 llama_new_context_with_model: freq_base = 500000.0 llama_new_context_with_model: freq_scale = 1 llama_kv_cache_init: CPU KV buffer size = 256.00 MiB llama_new_context_with_model: KV self size = 256.00 MiB, K (f16): 128.00 MiB, V (f16): 128.00 MiB llama_new_context_with_model: CPU output buffer size = 0.50 MiB llama_new_context_with_model: CPU compute buffer size = 258.50 MiB llama_new_context_with_model: graph nodes = 1030 llama_new_context_with_model: graph splits = 1 time=2024-05-02T14:05:22.730+08:00 level=ERROR source=routes.go:120 msg="error loading llama server" error="llama runner process no longer running: 3221225477 " time=2024-05-02T14:05:22.730+08:00 level=DEBUG source=server.go:832 msg="stopping llama server" [GIN] 2024/05/02 - 14:05:22 | 500 | 9.1479345s | 127.0.0.1 | POST "/api/chat"
GiteaMirror commented 2026-04-12 12:51:46 -05:00
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@dhiltgen commented on GitHub (May 2, 2024):

Thanks for the logs. It looks like the model is triggering a crash inside llama.cpp during load, regardless of GPU type.

<!-- gh-comment-id:2090925887 --> @dhiltgen commented on GitHub (May 2, 2024): Thanks for the logs. It looks like the model is triggering a crash inside llama.cpp during load, regardless of GPU type.
GiteaMirror commented 2026-04-12 12:51:46 -05:00
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@jiangweiatgithub commented on GitHub (May 3, 2024):

Just FYI: After I have updated to 0.1.33, the message now is:
Error: timed out waiting for llama runner to start:

And on 0.1.35, the message is:
Error: llama runner process has terminated: exit status 0xc0000409

<!-- gh-comment-id:2093277402 --> @jiangweiatgithub commented on GitHub (May 3, 2024): Just FYI: After I have updated to 0.1.33, the message now is: Error: timed out waiting for llama runner to start: And on 0.1.35, the message is: Error: llama runner process has terminated: exit status 0xc0000409
GiteaMirror commented 2026-04-12 12:51:47 -05:00
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@jiangweiatgithub commented on GitHub (May 16, 2024):

Never mind. It turns to be incomplete GGUF files downloaded by vanilla GIT command line. Sorry for the faulse alarm!

<!-- gh-comment-id:2114735995 --> @jiangweiatgithub commented on GitHub (May 16, 2024): Never mind. It turns to be incomplete GGUF files downloaded by vanilla GIT command line. Sorry for the faulse alarm!
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