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Ollama is not utilizing GPU #6830
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opened 2025-11-12 13:46:23 -06:00 by GiteaMirror
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Reference: github-starred/ollama-ollama#6830
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Originally created by @oo33shan on GitHub (Apr 23, 2025).
What is the issue?
2025/04/23 21:08:47 routes.go:1231: INFO server config env="map[CUDA_VISIBLE_DEVICES:GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERRIDE_GFX_VERSION: HTTPS_PROXY: HTTP_PROXY: NO_PROXY: OLLAMA_CONTEXT_LENGTH:2048 OLLAMA_DEBUG:true OLLAMA_FLASH_ATTENTION:false OLLAMA_GPU_OVERHEAD:0 OLLAMA_HOST:http://127.0.0.1:11434 OLLAMA_INTEL_GPU:false OLLAMA_KEEP_ALIVE:5m0s OLLAMA_KV_CACHE_TYPE: OLLAMA_LLM_LIBRARY: OLLAMA_LOAD_TIMEOUT:5m0s OLLAMA_MAX_LOADED_MODELS:0 OLLAMA_MAX_QUEUE:512 OLLAMA_MODELS:D:\ollama\Models OLLAMA_MULTIUSER_CACHE:false OLLAMA_NEW_ENGINE:false OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NUM_PARALLEL:0 OLLAMA_ORIGINS:[http://localhost https://localhost http://localhost:* https://localhost:* http://127.0.0.1 https://127.0.0.1 http://127.0.0.1:* https://127.0.0.1:* http://0.0.0.0 https://0.0.0.0 http://0.0.0.0:* https://0.0.0.0:* app://* file://* tauri://* vscode-webview://* vscode-file://] OLLAMA_SCHED_SPREAD:false ROCR_VISIBLE_DEVICES:]"
time=2025-04-23T21:08:47.812+08:00 level=INFO source=images.go:458 msg="total blobs: 11"
time=2025-04-23T21:08:47.812+08:00 level=INFO source=images.go:465 msg="total unused blobs removed: 0"
time=2025-04-23T21:08:47.812+08:00 level=INFO source=routes.go:1298 msg="Listening on 127.0.0.1:11434 (version 0.6.5)"
time=2025-04-23T21:08:47.812+08:00 level=DEBUG source=sched.go:107 msg="starting llm scheduler"
time=2025-04-23T21:08:47.813+08:00 level=INFO source=gpu.go:217 msg="looking for compatible GPUs"
time=2025-04-23T21:08:47.813+08:00 level=INFO source=gpu_windows.go:167 msg=packages count=1
time=2025-04-23T21:08:47.813+08:00 level=INFO source=gpu_windows.go:214 msg="" package=0 cores=8 efficiency=0 threads=16
time=2025-04-23T21:08:47.813+08:00 level=DEBUG source=gpu.go:98 msg="searching for GPU discovery libraries for NVIDIA"
time=2025-04-23T21:08:47.813+08:00 level=DEBUG source=gpu.go:501 msg="Searching for GPU library" name=nvml.dll
time=2025-04-23T21:08:47.813+08:00 level=DEBUG source=gpu.go:525 msg="gpu library search" globs="[C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama\nvml.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin\nvml.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\libnvvp\nvml.dll C:\Program Files\Python313\Scripts\nvml.dll C:\Program Files\Python313\nvml.dll C:\WINDOWS\system32\nvml.dll C:\WINDOWS\nvml.dll C:\WINDOWS\System32\Wbem\nvml.dll C:\WINDOWS\System32\WindowsPowerShell\v1.0\nvml.dll C:\WINDOWS\System32\OpenSSH\nvml.dll D:\mingw64\bin\nvml.dll C:\Program Files\NVIDIA Corporation\NVIDIA App\NvDLISR\nvml.dll C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\nvml.dll C:\Users\cc\AppData\Local\Microsoft\WindowsApps\python.exe\nvml.dll D:\PotPlayer\Module\Whisper\Faster-Whisper-XXL\faster-whisper-xxl.exe\nvml.dll C:\Program Files\NVIDIA Corporation\Nsight Compute 2025.1.1\nvml.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin\nvml.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\libnvvp\nvml.dll C:\Users\cc\AppData\Local\Programs\Ollama\nvml.dll C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama\nvml.dll C:\Program Files\Docker\Docker\resources\bin\nvml.dll C:\Users\cc\AppData\Local\Microsoft\WindowsApps\nvml.dll D:\Microsoft VS Code\bin\nvml.dll D:\ollama\nvml.dll D:\Bandizip\nvml.dll C:\Users\cc\AppData\Local\Microsoft\WindowsApps\python.exe\nvml.dll C:\Users\cc\AppData\Local\Programs\Ollama\nvml.dll C:\Users\cc\AppData\Local\Programs\Ollama\nvml.dll c:\Windows\System32\nvml.dll]"
time=2025-04-23T21:08:47.813+08:00 level=DEBUG source=gpu.go:529 msg="skipping PhysX cuda library path" path="C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\nvml.dll"
time=2025-04-23T21:08:47.813+08:00 level=DEBUG source=gpu.go:558 msg="discovered GPU libraries" paths="[C:\WINDOWS\system32\nvml.dll c:\Windows\System32\nvml.dll]"
time=2025-04-23T21:08:47.829+08:00 level=DEBUG source=gpu.go:111 msg="nvidia-ml loaded" library=C:\WINDOWS\system32\nvml.dll
time=2025-04-23T21:08:47.830+08:00 level=DEBUG source=gpu.go:501 msg="Searching for GPU library" name=nvcuda.dll
time=2025-04-23T21:08:47.830+08:00 level=DEBUG source=gpu.go:525 msg="gpu library search" globs="[C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama\nvcuda.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin\nvcuda.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\libnvvp\nvcuda.dll C:\Program Files\Python313\Scripts\nvcuda.dll C:\Program Files\Python313\nvcuda.dll C:\WINDOWS\system32\nvcuda.dll C:\WINDOWS\nvcuda.dll C:\WINDOWS\System32\Wbem\nvcuda.dll C:\WINDOWS\System32\WindowsPowerShell\v1.0\nvcuda.dll C:\WINDOWS\System32\OpenSSH\nvcuda.dll D:\mingw64\bin\nvcuda.dll C:\Program Files\NVIDIA Corporation\NVIDIA App\NvDLISR\nvcuda.dll C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\nvcuda.dll C:\Users\cc\AppData\Local\Microsoft\WindowsApps\python.exe\nvcuda.dll D:\PotPlayer\Module\Whisper\Faster-Whisper-XXL\faster-whisper-xxl.exe\nvcuda.dll C:\Program Files\NVIDIA Corporation\Nsight Compute 2025.1.1\nvcuda.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin\nvcuda.dll C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\libnvvp\nvcuda.dll C:\Users\cc\AppData\Local\Programs\Ollama\nvcuda.dll C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama\nvcuda.dll C:\Program Files\Docker\Docker\resources\bin\nvcuda.dll C:\Users\cc\AppData\Local\Microsoft\WindowsApps\nvcuda.dll D:\Microsoft VS Code\bin\nvcuda.dll D:\ollama\nvcuda.dll D:\Bandizip\nvcuda.dll C:\Users\cc\AppData\Local\Microsoft\WindowsApps\python.exe\nvcuda.dll C:\Users\cc\AppData\Local\Programs\Ollama\nvcuda.dll C:\Users\cc\AppData\Local\Programs\Ollama\nvcuda.dll c:\windows\system\nvcuda.dll]"
time=2025-04-23T21:08:47.830+08:00 level=DEBUG source=gpu.go:529 msg="skipping PhysX cuda library path" path="C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\nvcuda.dll"
time=2025-04-23T21:08:47.831+08:00 level=DEBUG source=gpu.go:558 msg="discovered GPU libraries" paths=[C:\WINDOWS\system32\nvcuda.dll]
initializing C:\WINDOWS\system32\nvcuda.dll
dlsym: cuInit - 00007FFB66FF1F80
dlsym: cuDriverGetVersion - 00007FFB66FF2020
dlsym: cuDeviceGetCount - 00007FFB66FF2816
dlsym: cuDeviceGet - 00007FFB66FF2810
dlsym: cuDeviceGetAttribute - 00007FFB66FF2170
dlsym: cuDeviceGetUuid - 00007FFB66FF2822
dlsym: cuDeviceGetName - 00007FFB66FF281C
dlsym: cuCtxCreate_v3 - 00007FFB66FF2894
dlsym: cuMemGetInfo_v2 - 00007FFB66FF2996
dlsym: cuCtxDestroy - 00007FFB66FF28A6
calling cuInit
calling cuDriverGetVersion
raw version 0x2f3a
CUDA driver version: 12.9
calling cuDeviceGetCount
device count 1
time=2025-04-23T21:08:47.875+08:00 level=DEBUG source=gpu.go:125 msg="detected GPUs" count=1 library=C:\WINDOWS\system32\nvcuda.dll
[GPU-4e1c9188-638e-6afd-457b-9715a3f90b26] CUDA totalMem 16302 mb
[GPU-4e1c9188-638e-6afd-457b-9715a3f90b26] CUDA freeMem 14923 mb
[GPU-4e1c9188-638e-6afd-457b-9715a3f90b26] Compute Capability 12.0
time=2025-04-23T21:08:48.013+08:00 level=DEBUG source=amd_hip_windows.go:88 msg=hipDriverGetVersion version=60342560
time=2025-04-23T21:08:48.013+08:00 level=INFO source=amd_hip_windows.go:103 msg="AMD ROCm reports no devices found"
time=2025-04-23T21:08:48.013+08:00 level=INFO source=amd_windows.go:49 msg="no compatible amdgpu devices detected"
releasing cuda driver library
releasing nvml library
time=2025-04-23T21:08:48.015+08:00 level=INFO source=types.go:130 msg="inference compute" id=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 library=cuda variant=v12 compute=12.0 driver=12.9 name="NVIDIA GeForce RTX 5070 Ti" total="15.9 GiB" available="14.6 GiB"
[GIN] 2025/04/23 - 21:09:01 | 200 | 0s | 127.0.0.1 | HEAD "/"
[GIN] 2025/04/23 - 21:09:01 | 200 | 46.5132ms | 127.0.0.1 | POST "/api/show"
time=2025-04-23T21:09:01.517+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.3 GiB" before.free_swap="40.8 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="40.7 GiB"
time=2025-04-23T21:09:01.540+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="14.6 GiB" now.total="15.9 GiB" now.free="13.1 GiB" now.used="2.9 GiB"
releasing nvml library
time=2025-04-23T21:09:01.541+08:00 level=DEBUG source=sched.go:183 msg="updating default concurrency" OLLAMA_MAX_LOADED_MODELS=3 gpu_count=1
time=2025-04-23T21:09:01.560+08:00 level=DEBUG source=sched.go:226 msg="loading first model" model=D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0
time=2025-04-23T21:09:01.560+08:00 level=DEBUG source=memory.go:108 msg=evaluating library=cuda gpu_count=1 available="[13.1 GiB]"
time=2025-04-23T21:09:01.560+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.vision.block_count default=0
time=2025-04-23T21:09:01.561+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.attention.key_length default=128
time=2025-04-23T21:09:01.561+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.attention.value_length default=128
time=2025-04-23T21:09:01.561+08:00 level=INFO source=sched.go:716 msg="new model will fit in available VRAM in single GPU, loading" model=D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0 gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 parallel=4 available=14030696448 required="10.8 GiB"
time=2025-04-23T21:09:01.561+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.2 GiB" before.free_swap="40.7 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="40.7 GiB"
time=2025-04-23T21:09:01.571+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="13.1 GiB" now.total="15.9 GiB" now.free="13.1 GiB" now.used="2.9 GiB"
releasing nvml library
time=2025-04-23T21:09:01.571+08:00 level=INFO source=server.go:105 msg="system memory" total="31.1 GiB" free="22.2 GiB" free_swap="40.7 GiB"
time=2025-04-23T21:09:01.571+08:00 level=DEBUG source=memory.go:108 msg=evaluating library=cuda gpu_count=1 available="[13.1 GiB]"
time=2025-04-23T21:09:01.571+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.vision.block_count default=0
time=2025-04-23T21:09:01.571+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.attention.key_length default=128
time=2025-04-23T21:09:01.571+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.attention.value_length default=128
time=2025-04-23T21:09:01.571+08:00 level=INFO source=server.go:138 msg=offload library=cuda layers.requested=-1 layers.model=49 layers.offload=49 layers.split="" memory.available="[13.1 GiB]" memory.gpu_overhead="0 B" memory.required.full="10.8 GiB" memory.required.partial="10.8 GiB" memory.required.kv="1.5 GiB" memory.required.allocations="[10.8 GiB]" memory.weights.total="8.0 GiB" memory.weights.repeating="7.4 GiB" memory.weights.nonrepeating="609.1 MiB" memory.graph.full="676.0 MiB" memory.graph.partial="916.1 MiB"
time=2025-04-23T21:09:01.572+08:00 level=DEBUG source=server.go:262 msg="compatible gpu libraries" compatible="[cuda_v12 cuda_v11]"
llama_model_loader: loaded meta data with 34 key-value pairs and 579 tensors from D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0 (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 = qwen2
llama_model_loader: - kv 1: general.type str = model
llama_model_loader: - kv 2: general.name str = Qwen2.5 14B Instruct 1M Abliterated
llama_model_loader: - kv 3: general.finetune str = Instruct-1m-abliterated
llama_model_loader: - kv 4: general.basename str = Qwen2.5
llama_model_loader: - kv 5: general.size_label str = 14B
llama_model_loader: - kv 6: general.license str = apache-2.0
llama_model_loader: - kv 7: general.license.link str = https://huggingface.co/huihui-ai/Qwen...
llama_model_loader: - kv 8: general.base_model.count u32 = 1
llama_model_loader: - kv 9: general.base_model.0.name str = Qwen2.5 14B Instruct 1M
llama_model_loader: - kv 10: general.base_model.0.organization str = Qwen
llama_model_loader: - kv 11: general.base_model.0.repo_url str = https://huggingface.co/Qwen/Qwen2.5-1...
llama_model_loader: - kv 12: general.tags arr[str,4] = ["chat", "abliterated", "uncensored",...
llama_model_loader: - kv 13: general.languages arr[str,1] = ["en"]
llama_model_loader: - kv 14: qwen2.block_count u32 = 48
llama_model_loader: - kv 15: qwen2.context_length u32 = 1010000
llama_model_loader: - kv 16: qwen2.embedding_length u32 = 5120
llama_model_loader: - kv 17: qwen2.feed_forward_length u32 = 13824
llama_model_loader: - kv 18: qwen2.attention.head_count u32 = 40
llama_model_loader: - kv 19: qwen2.attention.head_count_kv u32 = 8
llama_model_loader: - kv 20: qwen2.rope.freq_base f32 = 10000000.000000
llama_model_loader: - kv 21: qwen2.attention.layer_norm_rms_epsilon f32 = 0.000010
llama_model_loader: - kv 22: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 23: tokenizer.ggml.pre str = qwen2
llama_model_loader: - kv 24: tokenizer.ggml.tokens arr[str,152064] = ["!", """, "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 25: tokenizer.ggml.token_type arr[i32,152064] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 26: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv 27: tokenizer.ggml.eos_token_id u32 = 151645
llama_model_loader: - kv 28: tokenizer.ggml.padding_token_id u32 = 151643
llama_model_loader: - kv 29: tokenizer.ggml.bos_token_id u32 = 151643
llama_model_loader: - kv 30: tokenizer.ggml.add_bos_token bool = false
llama_model_loader: - kv 31: tokenizer.chat_template str = {%- if tools %}\n {{- '<|im_start|>...
llama_model_loader: - kv 32: general.quantization_version u32 = 2
llama_model_loader: - kv 33: general.file_type u32 = 15
llama_model_loader: - type f32: 241 tensors
llama_model_loader: - type q4_K: 289 tensors
llama_model_loader: - type q6_K: 49 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = Q4_K - Medium
print_info: file size = 8.37 GiB (4.87 BPW)
init_tokenizer: initializing tokenizer for type 2
load: control token: 151659 '<|fim_prefix|>' is not marked as EOG
load: control token: 151656 '<|video_pad|>' is not marked as EOG
load: control token: 151655 '<|image_pad|>' is not marked as EOG
load: control token: 151653 '<|vision_end|>' is not marked as EOG
load: control token: 151652 '<|vision_start|>' is not marked as EOG
load: control token: 151651 '<|quad_end|>' is not marked as EOG
load: control token: 151649 '<|box_end|>' is not marked as EOG
load: control token: 151648 '<|box_start|>' is not marked as EOG
load: control token: 151646 '<|object_ref_start|>' is not marked as EOG
load: control token: 151644 '<|im_start|>' is not marked as EOG
load: control token: 151661 '<|fim_suffix|>' is not marked as EOG
load: control token: 151647 '<|object_ref_end|>' is not marked as EOG
load: control token: 151660 '<|fim_middle|>' is not marked as EOG
load: control token: 151654 '<|vision_pad|>' is not marked as EOG
load: control token: 151650 '<|quad_start|>' is not marked as EOG
load: special tokens cache size = 22
load: token to piece cache size = 0.9310 MB
print_info: arch = qwen2
print_info: vocab_only = 1
print_info: model type = ?B
print_info: model params = 14.77 B
print_info: general.name = Qwen2.5 14B Instruct 1M Abliterated
print_info: vocab type = BPE
print_info: n_vocab = 152064
print_info: n_merges = 151387
print_info: BOS token = 151643 '<|endoftext|>'
print_info: EOS token = 151645 '<|im_end|>'
print_info: EOT token = 151645 '<|im_end|>'
print_info: PAD token = 151643 '<|endoftext|>'
print_info: LF token = 198 'Ċ'
print_info: FIM PRE token = 151659 '<|fim_prefix|>'
print_info: FIM SUF token = 151661 '<|fim_suffix|>'
print_info: FIM MID token = 151660 '<|fim_middle|>'
print_info: FIM PAD token = 151662 '<|fim_pad|>'
print_info: FIM REP token = 151663 '<|repo_name|>'
print_info: FIM SEP token = 151664 '<|file_sep|>'
print_info: EOG token = 151643 '<|endoftext|>'
print_info: EOG token = 151645 '<|im_end|>'
print_info: EOG token = 151662 '<|fim_pad|>'
print_info: EOG token = 151663 '<|repo_name|>'
print_info: EOG token = 151664 '<|file_sep|>'
print_info: max token length = 256
llama_model_load: vocab only - skipping tensors
time=2025-04-23T21:09:01.699+08:00 level=DEBUG source=server.go:335 msg="adding gpu library" path=C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama\cuda_v12
time=2025-04-23T21:09:01.700+08:00 level=DEBUG source=server.go:343 msg="adding gpu dependency paths" paths=[C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama\cuda_v12]
time=2025-04-23T21:09:01.700+08:00 level=INFO source=server.go:405 msg="starting llama server" cmd="C:\Users\cc\AppData\Local\Programs\Ollama\ollama.exe runner --model D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0 --ctx-size 8192 --batch-size 512 --n-gpu-layers 49 --verbose --threads 8 --no-mmap --parallel 4 --port 1915"
time=2025-04-23T21:09:01.700+08:00 level=DEBUG source=server.go:423 msg=subprocess environment="[CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8 CUDA_PATH_V12_8=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8 CUDA_VISIBLE_DEVICES=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 PATH=C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama\cuda_v12;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\libnvvp;C:\Program Files\Python313\Scripts\;C:\Program Files\Python313\;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\WINDOWS\System32\OpenSSH\;D:\mingw64\bin;C:\Program Files\NVIDIA Corporation\NVIDIA App\NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Users\cc\AppData\Local\Microsoft\WindowsApps\python.exe;D:\PotPlayer\Module\Whisper\Faster-Whisper-XXL\faster-whisper-xxl.exe;C:\Program Files\NVIDIA Corporation\Nsight Compute 2025.1.1\;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\libnvvp;C:\Users\cc\AppData\Local\Programs\Ollama;C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama;C:\Program Files\Docker\Docker\resources\bin;C:\Users\cc\AppData\Local\Microsoft\WindowsApps;D:\Microsoft VS Code\bin;D:\ollama;D:\Bandizip\;C:\Users\cc\AppData\Local\Microsoft\WindowsApps\python.exe;;C:\Users\cc\AppData\Local\Programs\Ollama;C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama\cuda_v12;C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama]"
time=2025-04-23T21:09:01.702+08:00 level=INFO source=sched.go:451 msg="loaded runners" count=1
time=2025-04-23T21:09:01.702+08:00 level=INFO source=server.go:580 msg="waiting for llama runner to start responding"
time=2025-04-23T21:09:01.702+08:00 level=INFO source=server.go:614 msg="waiting for server to become available" status="llm server error"
time=2025-04-23T21:09:01.721+08:00 level=INFO source=runner.go:853 msg="starting go runner"
time=2025-04-23T21:09:01.726+08:00 level=DEBUG source=ggml.go:99 msg="ggml backend load all from path" path=C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama\cuda_v12
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin"
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\libnvvp"
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path="C:\Program Files\Python313\Scripts"
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path="C:\Program Files\Python313"
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path=C:\WINDOWS\system32
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path=C:\WINDOWS
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path=C:\WINDOWS\System32\Wbem
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path=C:\WINDOWS\System32\WindowsPowerShell\v1.0
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path=C:\WINDOWS\System32\OpenSSH
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path=D:\mingw64\bin
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path="C:\Program Files\NVIDIA Corporation\NVIDIA App\NvDLISR"
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path="C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common"
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path=C:\Users\cc\AppData\Local\Microsoft\WindowsApps\python.exe
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path=D:\PotPlayer\Module\Whisper\Faster-Whisper-XXL\faster-whisper-xxl.exe
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path="C:\Program Files\NVIDIA Corporation\Nsight Compute 2025.1.1"
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin"
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\libnvvp"
time=2025-04-23T21:09:21.440+08:00 level=DEBUG source=ggml.go:99 msg="ggml backend load all from path" path=C:\Users\cc\AppData\Local\Programs\Ollama
time=2025-04-23T21:09:21.441+08:00 level=DEBUG source=ggml.go:99 msg="ggml backend load all from path" path=C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama
ggml_backend_load_best: failed to load C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama\ggml-cpu-alderlake.dll
ggml_backend_load_best: failed to load C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama\ggml-cpu-haswell.dll
ggml_backend_load_best: failed to load C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama\ggml-cpu-icelake.dll
ggml_backend_load_best: failed to load C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama\ggml-cpu-sandybridge.dll
ggml_backend_load_best: failed to load C:\Users\cc\AppData\Local\Programs\Ollama\lib\ollama\ggml-cpu-skylakex.dll
time=2025-04-23T21:09:21.502+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path="C:\Program Files\Docker\Docker\resources\bin"
time=2025-04-23T21:09:21.502+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path=C:\Users\cc\AppData\Local\Microsoft\WindowsApps
time=2025-04-23T21:09:21.502+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path="D:\Microsoft VS Code\bin"
time=2025-04-23T21:09:21.502+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path=D:\ollama
time=2025-04-23T21:09:21.502+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path=D:\Bandizip
time=2025-04-23T21:09:21.502+08:00 level=DEBUG source=ggml.go:93 msg="skipping path which is not part of ollama" path=C:\Users\cc\AppData\Local\Microsoft\WindowsApps\python.exe
time=2025-04-23T21:09:21.502+08:00 level=INFO source=ggml.go:109 msg=system CPU.0.LLAMAFILE=1 compiler=cgo(clang)
time=2025-04-23T21:09:21.502+08:00 level=INFO source=runner.go:913 msg="Server listening on 127.0.0.1:1915"
llama_model_loader: loaded meta data with 34 key-value pairs and 579 tensors from D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0 (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 = qwen2
llama_model_loader: - kv 1: general.type str = model
llama_model_loader: - kv 2: general.name str = Qwen2.5 14B Instruct 1M Abliterated
llama_model_loader: - kv 3: general.finetune str = Instruct-1m-abliterated
llama_model_loader: - kv 4: general.basename str = Qwen2.5
llama_model_loader: - kv 5: general.size_label str = 14B
llama_model_loader: - kv 6: general.license str = apache-2.0
llama_model_loader: - kv 7: general.license.link str = https://huggingface.co/huihui-ai/Qwen...
llama_model_loader: - kv 8: general.base_model.count u32 = 1
llama_model_loader: - kv 9: general.base_model.0.name str = Qwen2.5 14B Instruct 1M
llama_model_loader: - kv 10: general.base_model.0.organization str = Qwen
llama_model_loader: - kv 11: general.base_model.0.repo_url str = https://huggingface.co/Qwen/Qwen2.5-1...
llama_model_loader: - kv 12: general.tags arr[str,4] = ["chat", "abliterated", "uncensored",...
llama_model_loader: - kv 13: general.languages arr[str,1] = ["en"]
llama_model_loader: - kv 14: qwen2.block_count u32 = 48
llama_model_loader: - kv 15: qwen2.context_length u32 = 1010000
llama_model_loader: - kv 16: qwen2.embedding_length u32 = 5120
llama_model_loader: - kv 17: qwen2.feed_forward_length u32 = 13824
llama_model_loader: - kv 18: qwen2.attention.head_count u32 = 40
llama_model_loader: - kv 19: qwen2.attention.head_count_kv u32 = 8
llama_model_loader: - kv 20: qwen2.rope.freq_base f32 = 10000000.000000
llama_model_loader: - kv 21: qwen2.attention.layer_norm_rms_epsilon f32 = 0.000010
llama_model_loader: - kv 22: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 23: tokenizer.ggml.pre str = qwen2
llama_model_loader: - kv 24: tokenizer.ggml.tokens arr[str,152064] = ["!", """, "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 25: tokenizer.ggml.token_type arr[i32,152064] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 26: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv 27: tokenizer.ggml.eos_token_id u32 = 151645
llama_model_loader: - kv 28: tokenizer.ggml.padding_token_id u32 = 151643
llama_model_loader: - kv 29: tokenizer.ggml.bos_token_id u32 = 151643
llama_model_loader: - kv 30: tokenizer.ggml.add_bos_token bool = false
llama_model_loader: - kv 31: tokenizer.chat_template str = {%- if tools %}\n {{- '<|im_start|>...
llama_model_loader: - kv 32: general.quantization_version u32 = 2
llama_model_loader: - kv 33: general.file_type u32 = 15
llama_model_loader: - type f32: 241 tensors
llama_model_loader: - type q4_K: 289 tensors
llama_model_loader: - type q6_K: 49 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = Q4_K - Medium
print_info: file size = 8.37 GiB (4.87 BPW)
init_tokenizer: initializing tokenizer for type 2
load: control token: 151659 '<|fim_prefix|>' is not marked as EOG
load: control token: 151656 '<|video_pad|>' is not marked as EOG
load: control token: 151655 '<|image_pad|>' is not marked as EOG
load: control token: 151653 '<|vision_end|>' is not marked as EOG
load: control token: 151652 '<|vision_start|>' is not marked as EOG
load: control token: 151651 '<|quad_end|>' is not marked as EOG
load: control token: 151649 '<|box_end|>' is not marked as EOG
load: control token: 151648 '<|box_start|>' is not marked as EOG
load: control token: 151646 '<|object_ref_start|>' is not marked as EOG
load: control token: 151644 '<|im_start|>' is not marked as EOG
load: control token: 151661 '<|fim_suffix|>' is not marked as EOG
load: control token: 151647 '<|object_ref_end|>' is not marked as EOG
load: control token: 151660 '<|fim_middle|>' is not marked as EOG
load: control token: 151654 '<|vision_pad|>' is not marked as EOG
load: control token: 151650 '<|quad_start|>' is not marked as EOG
load: special tokens cache size = 22
load: token to piece cache size = 0.9310 MB
print_info: arch = qwen2
print_info: vocab_only = 0
print_info: n_ctx_train = 1010000
print_info: n_embd = 5120
print_info: n_layer = 48
print_info: n_head = 40
print_info: n_head_kv = 8
print_info: n_rot = 128
print_info: n_swa = 0
print_info: n_embd_head_k = 128
print_info: n_embd_head_v = 128
print_info: n_gqa = 5
print_info: n_embd_k_gqa = 1024
print_info: n_embd_v_gqa = 1024
print_info: f_norm_eps = 0.0e+00
print_info: f_norm_rms_eps = 1.0e-05
print_info: f_clamp_kqv = 0.0e+00
print_info: f_max_alibi_bias = 0.0e+00
print_info: f_logit_scale = 0.0e+00
print_info: n_ff = 13824
print_info: n_expert = 0
print_info: n_expert_used = 0
print_info: causal attn = 1
print_info: pooling type = 0
print_info: rope type = 2
print_info: rope scaling = linear
print_info: freq_base_train = 10000000.0
print_info: freq_scale_train = 1
print_info: n_ctx_orig_yarn = 1010000
print_info: rope_finetuned = unknown
print_info: ssm_d_conv = 0
print_info: ssm_d_inner = 0
print_info: ssm_d_state = 0
print_info: ssm_dt_rank = 0
print_info: ssm_dt_b_c_rms = 0
print_info: model type = 14B
print_info: model params = 14.77 B
print_info: general.name = Qwen2.5 14B Instruct 1M Abliterated
print_info: vocab type = BPE
print_info: n_vocab = 152064
print_info: n_merges = 151387
print_info: BOS token = 151643 '<|endoftext|>'
print_info: EOS token = 151645 '<|im_end|>'
print_info: EOT token = 151645 '<|im_end|>'
print_info: PAD token = 151643 '<|endoftext|>'
print_info: LF token = 198 'Ċ'
print_info: FIM PRE token = 151659 '<|fim_prefix|>'
print_info: FIM SUF token = 151661 '<|fim_suffix|>'
print_info: FIM MID token = 151660 '<|fim_middle|>'
print_info: FIM PAD token = 151662 '<|fim_pad|>'
print_info: FIM REP token = 151663 '<|repo_name|>'
print_info: FIM SEP token = 151664 '<|file_sep|>'
print_info: EOG token = 151643 '<|endoftext|>'
print_info: EOG token = 151645 '<|im_end|>'
print_info: EOG token = 151662 '<|fim_pad|>'
print_info: EOG token = 151663 '<|repo_name|>'
print_info: EOG token = 151664 '<|file_sep|>'
print_info: max token length = 256
load_tensors: loading model tensors, this can take a while... (mmap = false)
load_tensors: layer 0 assigned to device CPU
load_tensors: layer 1 assigned to device CPU
load_tensors: layer 2 assigned to device CPU
load_tensors: layer 3 assigned to device CPU
load_tensors: layer 4 assigned to device CPU
load_tensors: layer 5 assigned to device CPU
load_tensors: layer 6 assigned to device CPU
load_tensors: layer 7 assigned to device CPU
load_tensors: layer 8 assigned to device CPU
load_tensors: layer 9 assigned to device CPU
load_tensors: layer 10 assigned to device CPU
load_tensors: layer 11 assigned to device CPU
load_tensors: layer 12 assigned to device CPU
load_tensors: layer 13 assigned to device CPU
load_tensors: layer 14 assigned to device CPU
load_tensors: layer 15 assigned to device CPU
load_tensors: layer 16 assigned to device CPU
load_tensors: layer 17 assigned to device CPU
load_tensors: layer 18 assigned to device CPU
load_tensors: layer 19 assigned to device CPU
load_tensors: layer 20 assigned to device CPU
load_tensors: layer 21 assigned to device CPU
load_tensors: layer 22 assigned to device CPU
load_tensors: layer 23 assigned to device CPU
load_tensors: layer 24 assigned to device CPU
load_tensors: layer 25 assigned to device CPU
load_tensors: layer 26 assigned to device CPU
load_tensors: layer 27 assigned to device CPU
load_tensors: layer 28 assigned to device CPU
load_tensors: layer 29 assigned to device CPU
load_tensors: layer 30 assigned to device CPU
load_tensors: layer 31 assigned to device CPU
load_tensors: layer 32 assigned to device CPU
load_tensors: layer 33 assigned to device CPU
load_tensors: layer 34 assigned to device CPU
load_tensors: layer 35 assigned to device CPU
load_tensors: layer 36 assigned to device CPU
load_tensors: layer 37 assigned to device CPU
load_tensors: layer 38 assigned to device CPU
load_tensors: layer 39 assigned to device CPU
load_tensors: layer 40 assigned to device CPU
load_tensors: layer 41 assigned to device CPU
load_tensors: layer 42 assigned to device CPU
load_tensors: layer 43 assigned to device CPU
load_tensors: layer 44 assigned to device CPU
load_tensors: layer 45 assigned to device CPU
load_tensors: layer 46 assigned to device CPU
load_tensors: layer 47 assigned to device CPU
load_tensors: layer 48 assigned to device CPU
load_tensors: CPU model buffer size = 8566.04 MiB
load_all_data: no device found for buffer type CPU for async uploads
time=2025-04-23T21:09:21.727+08:00 level=INFO source=server.go:614 msg="waiting for server to become available" status="llm server loading model"
time=2025-04-23T21:09:21.977+08:00 level=DEBUG source=server.go:625 msg="model load progress 0.05"
time=2025-04-23T21:09:22.227+08:00 level=DEBUG source=server.go:625 msg="model load progress 0.17"
time=2025-04-23T21:09:22.477+08:00 level=DEBUG source=server.go:625 msg="model load progress 0.24"
time=2025-04-23T21:09:22.727+08:00 level=DEBUG source=server.go:625 msg="model load progress 0.30"
time=2025-04-23T21:09:22.977+08:00 level=DEBUG source=server.go:625 msg="model load progress 0.37"
time=2025-04-23T21:09:23.228+08:00 level=DEBUG source=server.go:625 msg="model load progress 0.44"
time=2025-04-23T21:09:23.478+08:00 level=DEBUG source=server.go:625 msg="model load progress 0.51"
time=2025-04-23T21:09:23.729+08:00 level=DEBUG source=server.go:625 msg="model load progress 0.57"
time=2025-04-23T21:09:23.979+08:00 level=DEBUG source=server.go:625 msg="model load progress 0.64"
time=2025-04-23T21:09:24.229+08:00 level=DEBUG source=server.go:625 msg="model load progress 0.70"
time=2025-04-23T21:09:24.479+08:00 level=DEBUG source=server.go:625 msg="model load progress 0.76"
time=2025-04-23T21:09:24.730+08:00 level=DEBUG source=server.go:625 msg="model load progress 0.83"
time=2025-04-23T21:09:24.980+08:00 level=DEBUG source=server.go:625 msg="model load progress 0.89"
time=2025-04-23T21:09:25.230+08:00 level=DEBUG source=server.go:625 msg="model load progress 0.94"
time=2025-04-23T21:09:25.481+08:00 level=DEBUG source=server.go:625 msg="model load progress 1.00"
llama_init_from_model: n_seq_max = 4
llama_init_from_model: n_ctx = 8192
llama_init_from_model: n_ctx_per_seq = 2048
llama_init_from_model: n_batch = 2048
llama_init_from_model: n_ubatch = 512
llama_init_from_model: flash_attn = 0
llama_init_from_model: freq_base = 10000000.0
llama_init_from_model: freq_scale = 1
llama_init_from_model: n_ctx_per_seq (2048) < n_ctx_train (1010000) -- the full capacity of the model will not be utilized
llama_kv_cache_init: kv_size = 8192, offload = 1, type_k = 'f16', type_v = 'f16', n_layer = 48, can_shift = 1
llama_kv_cache_init: layer 0: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 1: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 2: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 3: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 4: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 5: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 6: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 7: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 8: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 9: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 10: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 11: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 12: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 13: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 14: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 15: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 16: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 17: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 18: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 19: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 20: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 21: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 22: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 23: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 24: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 25: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 26: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 27: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 28: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 29: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 30: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 31: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 32: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 33: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 34: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 35: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 36: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 37: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 38: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 39: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 40: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 41: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 42: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 43: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 44: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 45: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 46: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 47: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: CPU KV buffer size = 1536.00 MiB
llama_init_from_model: KV self size = 1536.00 MiB, K (f16): 768.00 MiB, V (f16): 768.00 MiB
llama_init_from_model: CPU output buffer size = 2.40 MiB
llama_init_from_model: CPU compute buffer size = 696.01 MiB
llama_init_from_model: graph nodes = 1686
llama_init_from_model: graph splits = 1
time=2025-04-23T21:09:25.731+08:00 level=INFO source=server.go:619 msg="llama runner started in 24.03 seconds"
time=2025-04-23T21:09:25.731+08:00 level=DEBUG source=sched.go:464 msg="finished setting up runner" model=D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0
[GIN] 2025/04/23 - 21:09:25 | 200 | 24.2252665s | 127.0.0.1 | POST "/api/generate"
time=2025-04-23T21:09:25.731+08:00 level=DEBUG source=sched.go:468 msg="context for request finished"
time=2025-04-23T21:09:25.732+08:00 level=DEBUG source=sched.go:341 msg="runner with non-zero duration has gone idle, adding timer" modelPath=D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0 duration=5m0s
time=2025-04-23T21:09:25.732+08:00 level=DEBUG source=sched.go:359 msg="after processing request finished event" modelPath=D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0 refCount=0
[GIN] 2025/04/23 - 21:09:36 | 200 | 517.5µs | 127.0.0.1 | HEAD "/"
[GIN] 2025/04/23 - 21:09:36 | 200 | 0s | 127.0.0.1 | GET "/api/ps"
time=2025-04-23T21:09:44.166+08:00 level=DEBUG source=sched.go:577 msg="evaluating already loaded" model=D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0
time=2025-04-23T21:09:44.167+08:00 level=DEBUG source=routes.go:1522 msg="chat request" images=0 prompt="<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nca<|im_end|>\n<|im_start|>assistant\n"
time=2025-04-23T21:09:44.169+08:00 level=DEBUG source=cache.go:104 msg="loading cache slot" id=0 cache=0 prompt=30 used=0 remaining=30
[GIN] 2025/04/23 - 21:10:03 | 200 | 19.5927388s | 127.0.0.1 | POST "/api/chat"
time=2025-04-23T21:10:03.747+08:00 level=DEBUG source=sched.go:409 msg="context for request finished"
time=2025-04-23T21:10:03.747+08:00 level=DEBUG source=sched.go:341 msg="runner with non-zero duration has gone idle, adding timer" modelPath=D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0 duration=5m0s
time=2025-04-23T21:10:03.747+08:00 level=DEBUG source=sched.go:359 msg="after processing request finished event" modelPath=D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0 refCount=0
time=2025-04-23T21:15:03.751+08:00 level=DEBUG source=sched.go:343 msg="timer expired, expiring to unload" modelPath=D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0
time=2025-04-23T21:15:03.751+08:00 level=DEBUG source=sched.go:362 msg="runner expired event received" modelPath=D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0
time=2025-04-23T21:15:03.751+08:00 level=DEBUG source=sched.go:377 msg="got lock to unload" modelPath=D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0
time=2025-04-23T21:15:03.751+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.2 GiB" before.free_swap="40.7 GiB" now.total="31.1 GiB" now.free="12.2 GiB" now.free_swap="28.9 GiB"
time=2025-04-23T21:15:03.763+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="13.1 GiB" now.total="15.9 GiB" now.free="12.5 GiB" now.used="3.4 GiB"
releasing nvml library
time=2025-04-23T21:15:03.783+08:00 level=DEBUG source=server.go:1001 msg="stopping llama server"
time=2025-04-23T21:15:03.783+08:00 level=DEBUG source=server.go:1007 msg="waiting for llama server to exit"
time=2025-04-23T21:15:04.001+08:00 level=DEBUG source=server.go:1011 msg="llama server stopped"
time=2025-04-23T21:15:04.001+08:00 level=DEBUG source=sched.go:382 msg="runner released" modelPath=D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0
time=2025-04-23T21:15:04.013+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="12.2 GiB" before.free_swap="28.9 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="39.6 GiB"
time=2025-04-23T21:15:04.045+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="12.5 GiB" now.total="15.9 GiB" now.free="12.5 GiB" now.used="3.4 GiB"
releasing nvml library
time=2025-04-23T21:15:04.263+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.2 GiB" before.free_swap="39.6 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="39.6 GiB"
time=2025-04-23T21:15:04.277+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="12.5 GiB" now.total="15.9 GiB" now.free="12.5 GiB" now.used="3.4 GiB"
releasing nvml library
time=2025-04-23T21:15:04.513+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.2 GiB" before.free_swap="39.6 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="39.6 GiB"
time=2025-04-23T21:15:04.526+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="12.5 GiB" now.total="15.9 GiB" now.free="12.5 GiB" now.used="3.4 GiB"
releasing nvml library
time=2025-04-23T21:15:04.763+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.2 GiB" before.free_swap="39.6 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="39.6 GiB"
time=2025-04-23T21:15:04.775+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="12.5 GiB" now.total="15.9 GiB" now.free="12.6 GiB" now.used="3.3 GiB"
releasing nvml library
time=2025-04-23T21:15:05.013+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.2 GiB" before.free_swap="39.6 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="39.6 GiB"
time=2025-04-23T21:15:05.024+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="12.6 GiB" now.total="15.9 GiB" now.free="12.6 GiB" now.used="3.3 GiB"
releasing nvml library
time=2025-04-23T21:15:05.263+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.2 GiB" before.free_swap="39.6 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="39.6 GiB"
time=2025-04-23T21:15:05.273+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="12.6 GiB" now.total="15.9 GiB" now.free="12.6 GiB" now.used="3.3 GiB"
releasing nvml library
time=2025-04-23T21:15:05.513+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.2 GiB" before.free_swap="39.6 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="39.6 GiB"
time=2025-04-23T21:15:05.522+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="12.6 GiB" now.total="15.9 GiB" now.free="12.6 GiB" now.used="3.3 GiB"
releasing nvml library
time=2025-04-23T21:15:05.763+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.2 GiB" before.free_swap="39.6 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="39.6 GiB"
time=2025-04-23T21:15:05.785+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="12.6 GiB" now.total="15.9 GiB" now.free="12.6 GiB" now.used="3.3 GiB"
releasing nvml library
time=2025-04-23T21:15:06.013+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.2 GiB" before.free_swap="39.6 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="39.6 GiB"
time=2025-04-23T21:15:06.032+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="12.6 GiB" now.total="15.9 GiB" now.free="12.6 GiB" now.used="3.3 GiB"
releasing nvml library
time=2025-04-23T21:15:06.263+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.2 GiB" before.free_swap="39.6 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="39.6 GiB"
time=2025-04-23T21:15:06.279+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="12.6 GiB" now.total="15.9 GiB" now.free="12.6 GiB" now.used="3.3 GiB"
releasing nvml library
time=2025-04-23T21:15:06.513+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.2 GiB" before.free_swap="39.6 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="39.6 GiB"
time=2025-04-23T21:15:06.527+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="12.6 GiB" now.total="15.9 GiB" now.free="12.6 GiB" now.used="3.3 GiB"
releasing nvml library
time=2025-04-23T21:15:06.763+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.2 GiB" before.free_swap="39.6 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="39.6 GiB"
time=2025-04-23T21:15:06.774+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="12.6 GiB" now.total="15.9 GiB" now.free="12.6 GiB" now.used="3.3 GiB"
releasing nvml library
time=2025-04-23T21:15:07.013+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.2 GiB" before.free_swap="39.6 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="39.6 GiB"
time=2025-04-23T21:15:07.023+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="12.6 GiB" now.total="15.9 GiB" now.free="12.5 GiB" now.used="3.4 GiB"
releasing nvml library
time=2025-04-23T21:15:07.263+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.2 GiB" before.free_swap="39.6 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="39.6 GiB"
time=2025-04-23T21:15:07.287+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="12.5 GiB" now.total="15.9 GiB" now.free="12.6 GiB" now.used="3.4 GiB"
releasing nvml library
time=2025-04-23T21:15:07.513+08:00 level=DEBUG source=gpu.go:391 msg="updating system memory data" before.total="31.1 GiB" before.free="22.2 GiB" before.free_swap="39.6 GiB" now.total="31.1 GiB" now.free="22.2 GiB" now.free_swap="39.6 GiB"
time=2025-04-23T21:15:07.520+08:00 level=DEBUG source=gpu.go:441 msg="updating cuda memory data" gpu=GPU-4e1c9188-638e-6afd-457b-9715a3f90b26 name="NVIDIA GeForce RTX 5070 Ti" overhead="0 B" before.total="15.9 GiB" before.free="12.6 GiB" now.total="15.9 GiB" now.free="12.5 GiB" now.used="3.4 GiB"
releasing nvml library
time=2025-04-23T21:15:07.520+08:00 level=DEBUG source=sched.go:661 msg="gpu VRAM free memory converged after 3.77 seconds" model=D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0
time=2025-04-23T21:15:07.520+08:00 level=DEBUG source=sched.go:386 msg="sending an unloaded event" modelPath=D:\ollama\Models\blobs\sha256-8f503e18bc39900d38e1ab39509091a5f2c8251c81e11f9264c452325378ade0
time=2025-04-23T21:15:07.521+08:00 level=DEBUG source=sched.go:310 msg="ignoring unload event with no pending requests"
Relevant log output
OS
No response
GPU
No response
CPU
No response
Ollama version
No response
@oo33shan commented on GitHub (Apr 23, 2025):
@JBGitHub11 commented on GitHub (Apr 23, 2025):
'OLLAMA_NEW_ENGINE:false'
give true a shot.
@rick-github commented on GitHub (Apr 23, 2025):
qwen2 is not supported by the new engine yet. The problem is likely related to:
Unfortunately it's not clear why the backend load fails. The screenshot shows that the backends are available, and that the directories for the CUDA libraries exist.