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[GH-ISSUE #10048] amd can't use ollama after 0.5.12 #32348

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opened 2026-04-22 13:32:02 -05:00 by GiteaMirror · 2 comments
GiteaMirror commented 2026-04-22 13:32:02 -05:00
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Originally created by @wszgrcy on GitHub (Mar 30, 2025).
Original GitHub issue: https://github.com/ollama/ollama/issues/10048

What is the issue?

windows10 amd driver 25.3.1 cpu: 5900x gpu: 7900xt
Since 0.5.12, rocm has been separated into separate compressed packages and seems to be unusable. I have adopted two installation methods

  1. ollama-windows-amd64.zip+ollama-windows-amd64-rocm.zip
  2. OllamaSetup.exe
    All generate the same error message

Reproduce the process

  1. ollama serve
  2. ollama run qwen2.5:0.5b

Relevant log output

2025/03/30 15:35:56 routes.go:1230: INFO server config env="map[CUDA_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERRIDE_GFX_VERSION: HTTPS_PROXY: HTTP_PROXY: NO_PROXY: OLLAMA_CONTEXT_LENGTH:2048 OLLAMA_DEBUG:false 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:C:\\Users\\chen\\.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=2025-03-30T15:35:56.265+08:00 level=INFO source=images.go:432 msg="total blobs: 85"
time=2025-03-30T15:35:56.270+08:00 level=INFO source=images.go:439 msg="total unused blobs removed: 0"
time=2025-03-30T15:35:56.273+08:00 level=INFO source=routes.go:1297 msg="Listening on 127.0.0.1:11434 (version 0.6.3)"
time=2025-03-30T15:35:56.273+08:00 level=INFO source=gpu.go:217 msg="looking for compatible GPUs"
time=2025-03-30T15:35:56.273+08:00 level=INFO source=gpu_windows.go:167 msg=packages count=1
time=2025-03-30T15:35:56.273+08:00 level=INFO source=gpu_windows.go:214 msg="" package=0 cores=12 efficiency=0 threads=24
time=2025-03-30T15:35:56.991+08:00 level=INFO source=types.go:130 msg="inference compute" id=0 library=rocm variant="" compute=gfx1100 driver=6.3 name="AMD Radeon RX 7900 XT" total="20.0 GiB" available="19.8 GiB"
[GIN] 2025/03/30 - 15:36:20 | 200 |            0s |       127.0.0.1 | HEAD     "/"
[GIN] 2025/03/30 - 15:36:20 | 200 |     17.2519ms |       127.0.0.1 | POST     "/api/show"
time=2025-03-30T15:36:21.197+08:00 level=INFO source=sched.go:186 msg="one or more GPUs detected that are unable to accurately report free memory - disabling default concurrency"
time=2025-03-30T15:36:21.220+08:00 level=WARN source=ggml.go:149 msg="key not found" key=qwen2.vision.block_count default=0
time=2025-03-30T15:36:21.220+08:00 level=WARN source=ggml.go:149 msg="key not found" key=qwen2.attention.key_length default=64
time=2025-03-30T15:36:21.220+08:00 level=WARN source=ggml.go:149 msg="key not found" key=qwen2.attention.value_length default=64
time=2025-03-30T15:36:21.220+08:00 level=INFO source=sched.go:715 msg="new model will fit in available VRAM in single GPU, loading" model=C:\Users\chen\.ollama\models\blobs\sha256-c5396e06af294bd101b30dce59131a76d2b773e76950acc870eda801d3ab0515 gpu=0 parallel=4 available=21144535040 required="1.2 GiB"
time=2025-03-30T15:36:21.897+08:00 level=INFO source=server.go:105 msg="system memory" total="63.9 GiB" free="55.8 GiB" free_swap="60.7 GiB"
time=2025-03-30T15:36:21.897+08:00 level=WARN source=ggml.go:149 msg="key not found" key=qwen2.vision.block_count default=0
time=2025-03-30T15:36:21.897+08:00 level=WARN source=ggml.go:149 msg="key not found" key=qwen2.attention.key_length default=64
time=2025-03-30T15:36:21.897+08:00 level=WARN source=ggml.go:149 msg="key not found" key=qwen2.attention.value_length default=64
time=2025-03-30T15:36:21.897+08:00 level=INFO source=server.go:138 msg=offload library=rocm layers.requested=-1 layers.model=25 layers.offload=25 layers.split="" memory.available="[19.7 GiB]" memory.gpu_overhead="0 B" memory.required.full="1.2 GiB" memory.required.partial="1.2 GiB" memory.required.kv="96.0 MiB" memory.required.allocations="[1.2 GiB]" memory.weights.total="373.7 MiB" memory.weights.repeating="235.8 MiB" memory.weights.nonrepeating="137.9 MiB" memory.graph.full="298.5 MiB" memory.graph.partial="405.0 MiB"
llama_model_loader: loaded meta data with 34 key-value pairs and 290 tensors from C:\Users\chen\.ollama\models\blobs\sha256-c5396e06af294bd101b30dce59131a76d2b773e76950acc870eda801d3ab0515 (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 0.5B Instruct
llama_model_loader: - kv   3:                           general.finetune str              = Instruct
llama_model_loader: - kv   4:                           general.basename str              = Qwen2.5
llama_model_loader: - kv   5:                         general.size_label str              = 0.5B
llama_model_loader: - kv   6:                            general.license str              = apache-2.0
llama_model_loader: - kv   7:                       general.license.link str              = https://huggingface.co/Qwen/Qwen2.5-0...
llama_model_loader: - kv   8:                   general.base_model.count u32              = 1
llama_model_loader: - kv   9:                  general.base_model.0.name str              = Qwen2.5 0.5B
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/Qwen2.5-0.5B
llama_model_loader: - kv  12:                               general.tags arr[str,2]       = ["chat", "text-generation"]
llama_model_loader: - kv  13:                          general.languages arr[str,1]       = ["en"]
llama_model_loader: - kv  14:                          qwen2.block_count u32              = 24
llama_model_loader: - kv  15:                       qwen2.context_length u32              = 32768
llama_model_loader: - kv  16:                     qwen2.embedding_length u32              = 896
llama_model_loader: - kv  17:                  qwen2.feed_forward_length u32              = 4864
llama_model_loader: - kv  18:                 qwen2.attention.head_count u32              = 14
llama_model_loader: - kv  19:              qwen2.attention.head_count_kv u32              = 2
llama_model_loader: - kv  20:                       qwen2.rope.freq_base f32              = 1000000.000000
llama_model_loader: - kv  21:     qwen2.attention.layer_norm_rms_epsilon f32              = 0.000001
llama_model_loader: - kv  22:                          general.file_type u32              = 15
llama_model_loader: - kv  23:                       tokenizer.ggml.model str              = gpt2
llama_model_loader: - kv  24:                         tokenizer.ggml.pre str              = qwen2
llama_model_loader: - kv  25:                      tokenizer.ggml.tokens arr[str,151936]  = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv  26:                  tokenizer.ggml.token_type arr[i32,151936]  = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv  27:                      tokenizer.ggml.merges arr[str,151387]  = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv  28:                tokenizer.ggml.eos_token_id u32              = 151645
llama_model_loader: - kv  29:            tokenizer.ggml.padding_token_id u32              = 151643
llama_model_loader: - kv  30:                tokenizer.ggml.bos_token_id u32              = 151643
llama_model_loader: - kv  31:               tokenizer.ggml.add_bos_token bool             = false
llama_model_loader: - kv  32:                    tokenizer.chat_template str              = {%- if tools %}\n    {{- '<|im_start|>...
llama_model_loader: - kv  33:               general.quantization_version u32              = 2
llama_model_loader: - type  f32:  121 tensors
llama_model_loader: - type q5_0:  132 tensors
llama_model_loader: - type q8_0:   13 tensors
llama_model_loader: - type q4_K:   12 tensors
llama_model_loader: - type q6_K:   12 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type   = Q4_K - Medium
print_info: file size   = 373.71 MiB (6.35 BPW)
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     = 494.03 M
print_info: general.name     = Qwen2.5 0.5B Instruct
print_info: vocab type       = BPE
print_info: n_vocab          = 151936
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=2025-03-30T15:36:22.055+08:00 level=INFO source=server.go:405 msg="starting llama server" cmd="C:\\Users\\chen\\AppData\\Local\\Programs\\Ollama\\ollama.exe runner --model C:\\Users\\chen\\.ollama\\models\\blobs\\sha256-c5396e06af294bd101b30dce59131a76d2b773e76950acc870eda801d3ab0515 --ctx-size 8192 --batch-size 512 --n-gpu-layers 25 --threads 12 --parallel 4 --port 49982"
time=2025-03-30T15:36:22.069+08:00 level=INFO source=sched.go:450 msg="loaded runners" count=1
time=2025-03-30T15:36:22.069+08:00 level=INFO source=server.go:580 msg="waiting for llama runner to start responding"
time=2025-03-30T15:36:22.069+08:00 level=INFO source=server.go:614 msg="waiting for server to become available" status="llm server error"
time=2025-03-30T15:36:22.087+08:00 level=INFO source=runner.go:846 msg="starting go runner"
ggml_cuda_init: GGML_CUDA_FORCE_MMQ:    no
ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
ggml_cuda_init: found 1 ROCm devices:
  Device 0: AMD Radeon RX 7900 XT, gfx1100 (0x1100), VMM: no, Wave Size: 32
load_backend: loaded ROCm backend from C:\Users\chen\AppData\Local\Programs\Ollama\lib\ollama\rocm\ggml-hip.dll
load_backend: loaded CPU backend from C:\Users\chen\AppData\Local\Programs\Ollama\lib\ollama\ggml-cpu-haswell.dll
time=2025-03-30T15:36:22.125+08:00 level=INFO source=ggml.go:109 msg=system CPU.0.SSE3=1 CPU.0.SSSE3=1 CPU.0.AVX=1 CPU.0.AVX2=1 CPU.0.F16C=1 CPU.0.FMA=1 CPU.0.LLAMAFILE=1 CPU.1.LLAMAFILE=1 ROCm.0.NO_VMM=1 ROCm.0.NO_PEER_COPY=1 ROCm.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(clang)
time=2025-03-30T15:36:22.125+08:00 level=INFO source=runner.go:906 msg="Server listening on 127.0.0.1:49982"
time=2025-03-30T15:36:22.320+08:00 level=INFO source=server.go:614 msg="waiting for server to become available" status="llm server loading model"
llama_model_load_from_file_impl: using device ROCm0 (AMD Radeon RX 7900 XT) - 20314 MiB free
llama_model_loader: loaded meta data with 34 key-value pairs and 290 tensors from C:\Users\chen\.ollama\models\blobs\sha256-c5396e06af294bd101b30dce59131a76d2b773e76950acc870eda801d3ab0515 (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 0.5B Instruct
llama_model_loader: - kv   3:                           general.finetune str              = Instruct
llama_model_loader: - kv   4:                           general.basename str              = Qwen2.5
llama_model_loader: - kv   5:                         general.size_label str              = 0.5B
llama_model_loader: - kv   6:                            general.license str              = apache-2.0
llama_model_loader: - kv   7:                       general.license.link str              = https://huggingface.co/Qwen/Qwen2.5-0...
llama_model_loader: - kv   8:                   general.base_model.count u32              = 1
llama_model_loader: - kv   9:                  general.base_model.0.name str              = Qwen2.5 0.5B
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/Qwen2.5-0.5B
llama_model_loader: - kv  12:                               general.tags arr[str,2]       = ["chat", "text-generation"]
llama_model_loader: - kv  13:                          general.languages arr[str,1]       = ["en"]
llama_model_loader: - kv  14:                          qwen2.block_count u32              = 24
llama_model_loader: - kv  15:                       qwen2.context_length u32              = 32768
llama_model_loader: - kv  16:                     qwen2.embedding_length u32              = 896
llama_model_loader: - kv  17:                  qwen2.feed_forward_length u32              = 4864
llama_model_loader: - kv  18:                 qwen2.attention.head_count u32              = 14
llama_model_loader: - kv  19:              qwen2.attention.head_count_kv u32              = 2
llama_model_loader: - kv  20:                       qwen2.rope.freq_base f32              = 1000000.000000
llama_model_loader: - kv  21:     qwen2.attention.layer_norm_rms_epsilon f32              = 0.000001
llama_model_loader: - kv  22:                          general.file_type u32              = 15
llama_model_loader: - kv  23:                       tokenizer.ggml.model str              = gpt2
llama_model_loader: - kv  24:                         tokenizer.ggml.pre str              = qwen2
llama_model_loader: - kv  25:                      tokenizer.ggml.tokens arr[str,151936]  = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv  26:                  tokenizer.ggml.token_type arr[i32,151936]  = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv  27:                      tokenizer.ggml.merges arr[str,151387]  = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv  28:                tokenizer.ggml.eos_token_id u32              = 151645
llama_model_loader: - kv  29:            tokenizer.ggml.padding_token_id u32              = 151643
llama_model_loader: - kv  30:                tokenizer.ggml.bos_token_id u32              = 151643
llama_model_loader: - kv  31:               tokenizer.ggml.add_bos_token bool             = false
llama_model_loader: - kv  32:                    tokenizer.chat_template str              = {%- if tools %}\n    {{- '<|im_start|>...
llama_model_loader: - kv  33:               general.quantization_version u32              = 2
llama_model_loader: - type  f32:  121 tensors
llama_model_loader: - type q5_0:  132 tensors
llama_model_loader: - type q8_0:   13 tensors
llama_model_loader: - type q4_K:   12 tensors
llama_model_loader: - type q6_K:   12 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type   = Q4_K - Medium
print_info: file size   = 373.71 MiB (6.35 BPW)
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      = 32768
print_info: n_embd           = 896
print_info: n_layer          = 24
print_info: n_head           = 14
print_info: n_head_kv        = 2
print_info: n_rot            = 64
print_info: n_swa            = 0
print_info: n_embd_head_k    = 64
print_info: n_embd_head_v    = 64
print_info: n_gqa            = 7
print_info: n_embd_k_gqa     = 128
print_info: n_embd_v_gqa     = 128
print_info: f_norm_eps       = 0.0e+00
print_info: f_norm_rms_eps   = 1.0e-06
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             = 4864
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  = 1000000.0
print_info: freq_scale_train = 1
print_info: n_ctx_orig_yarn  = 32768
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       = 1B
print_info: model params     = 494.03 M
print_info: general.name     = Qwen2.5 0.5B Instruct
print_info: vocab type       = BPE
print_info: n_vocab          = 151936
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 = true)
load_tensors: offloading 24 repeating layers to GPU
load_tensors: offloading output layer to GPU
load_tensors: offloaded 25/25 layers to GPU
load_tensors:        ROCm0 model buffer size =   373.73 MiB
load_tensors:   CPU_Mapped model buffer size =   137.94 MiB
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     = 1000000.0
llama_init_from_model: freq_scale    = 1
llama_init_from_model: n_ctx_per_seq (2048) < n_ctx_train (32768) -- 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 = 24, can_shift = 1
llama_kv_cache_init:      ROCm0 KV buffer size =    96.00 MiB
llama_init_from_model: KV self size  =   96.00 MiB, K (f16):   48.00 MiB, V (f16):   48.00 MiB
llama_init_from_model:  ROCm_Host  output buffer size =     2.33 MiB
D:\a\llama.cpp\llama.cpp\ggml\src\ggml.c:1721: GGML_ASSERT(tensor->op == GGML_OP_UNARY) failed
time=2025-03-30T15:36:24.112+08:00 level=INFO source=server.go:614 msg="waiting for server to become available" status="llm server error"
time=2025-03-30T15:36:24.141+08:00 level=ERROR source=server.go:449 msg="llama runner terminated" error="exit status 0xc0000409"
time=2025-03-30T15:36:24.362+08:00 level=ERROR source=sched.go:456 msg="error loading llama server" error="llama runner process has terminated: GGML_ASSERT(tensor->op == GGML_OP_UNARY) failed"
[GIN] 2025/03/30 - 15:36:24 | 500 |    3.8306236s |       127.0.0.1 | POST     "/api/generate"

OS

Windows

GPU

AMD

CPU

AMD

Ollama version

0.5.13-0.6.3

Originally created by @wszgrcy on GitHub (Mar 30, 2025). Original GitHub issue: https://github.com/ollama/ollama/issues/10048 ### What is the issue? windows10 amd driver 25.3.1 cpu: 5900x gpu: 7900xt Since 0.5.12, rocm has been separated into separate compressed packages and seems to be unusable. I have adopted two installation methods 1. [ollama-windows-amd64.zip](https://github.com/ollama/ollama/releases/download/v0.6.3/ollama-windows-amd64.zip)+[ollama-windows-amd64-rocm.zip](https://github.com/ollama/ollama/releases/download/v0.6.3/ollama-windows-amd64-rocm.zip) 2. [OllamaSetup.exe](https://github.com/ollama/ollama/releases/download/v0.6.3/OllamaSetup.exe) All generate the same error message Reproduce the process 1. `ollama serve` 2. `ollama run qwen2.5:0.5b` ### Relevant log output ```shell 2025/03/30 15:35:56 routes.go:1230: INFO server config env="map[CUDA_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERRIDE_GFX_VERSION: HTTPS_PROXY: HTTP_PROXY: NO_PROXY: OLLAMA_CONTEXT_LENGTH:2048 OLLAMA_DEBUG:false 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:C:\\Users\\chen\\.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=2025-03-30T15:35:56.265+08:00 level=INFO source=images.go:432 msg="total blobs: 85" time=2025-03-30T15:35:56.270+08:00 level=INFO source=images.go:439 msg="total unused blobs removed: 0" time=2025-03-30T15:35:56.273+08:00 level=INFO source=routes.go:1297 msg="Listening on 127.0.0.1:11434 (version 0.6.3)" time=2025-03-30T15:35:56.273+08:00 level=INFO source=gpu.go:217 msg="looking for compatible GPUs" time=2025-03-30T15:35:56.273+08:00 level=INFO source=gpu_windows.go:167 msg=packages count=1 time=2025-03-30T15:35:56.273+08:00 level=INFO source=gpu_windows.go:214 msg="" package=0 cores=12 efficiency=0 threads=24 time=2025-03-30T15:35:56.991+08:00 level=INFO source=types.go:130 msg="inference compute" id=0 library=rocm variant="" compute=gfx1100 driver=6.3 name="AMD Radeon RX 7900 XT" total="20.0 GiB" available="19.8 GiB" [GIN] 2025/03/30 - 15:36:20 | 200 | 0s | 127.0.0.1 | HEAD "/" [GIN] 2025/03/30 - 15:36:20 | 200 | 17.2519ms | 127.0.0.1 | POST "/api/show" time=2025-03-30T15:36:21.197+08:00 level=INFO source=sched.go:186 msg="one or more GPUs detected that are unable to accurately report free memory - disabling default concurrency" time=2025-03-30T15:36:21.220+08:00 level=WARN source=ggml.go:149 msg="key not found" key=qwen2.vision.block_count default=0 time=2025-03-30T15:36:21.220+08:00 level=WARN source=ggml.go:149 msg="key not found" key=qwen2.attention.key_length default=64 time=2025-03-30T15:36:21.220+08:00 level=WARN source=ggml.go:149 msg="key not found" key=qwen2.attention.value_length default=64 time=2025-03-30T15:36:21.220+08:00 level=INFO source=sched.go:715 msg="new model will fit in available VRAM in single GPU, loading" model=C:\Users\chen\.ollama\models\blobs\sha256-c5396e06af294bd101b30dce59131a76d2b773e76950acc870eda801d3ab0515 gpu=0 parallel=4 available=21144535040 required="1.2 GiB" time=2025-03-30T15:36:21.897+08:00 level=INFO source=server.go:105 msg="system memory" total="63.9 GiB" free="55.8 GiB" free_swap="60.7 GiB" time=2025-03-30T15:36:21.897+08:00 level=WARN source=ggml.go:149 msg="key not found" key=qwen2.vision.block_count default=0 time=2025-03-30T15:36:21.897+08:00 level=WARN source=ggml.go:149 msg="key not found" key=qwen2.attention.key_length default=64 time=2025-03-30T15:36:21.897+08:00 level=WARN source=ggml.go:149 msg="key not found" key=qwen2.attention.value_length default=64 time=2025-03-30T15:36:21.897+08:00 level=INFO source=server.go:138 msg=offload library=rocm layers.requested=-1 layers.model=25 layers.offload=25 layers.split="" memory.available="[19.7 GiB]" memory.gpu_overhead="0 B" memory.required.full="1.2 GiB" memory.required.partial="1.2 GiB" memory.required.kv="96.0 MiB" memory.required.allocations="[1.2 GiB]" memory.weights.total="373.7 MiB" memory.weights.repeating="235.8 MiB" memory.weights.nonrepeating="137.9 MiB" memory.graph.full="298.5 MiB" memory.graph.partial="405.0 MiB" llama_model_loader: loaded meta data with 34 key-value pairs and 290 tensors from C:\Users\chen\.ollama\models\blobs\sha256-c5396e06af294bd101b30dce59131a76d2b773e76950acc870eda801d3ab0515 (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 0.5B Instruct llama_model_loader: - kv 3: general.finetune str = Instruct llama_model_loader: - kv 4: general.basename str = Qwen2.5 llama_model_loader: - kv 5: general.size_label str = 0.5B llama_model_loader: - kv 6: general.license str = apache-2.0 llama_model_loader: - kv 7: general.license.link str = https://huggingface.co/Qwen/Qwen2.5-0... llama_model_loader: - kv 8: general.base_model.count u32 = 1 llama_model_loader: - kv 9: general.base_model.0.name str = Qwen2.5 0.5B 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/Qwen2.5-0.5B llama_model_loader: - kv 12: general.tags arr[str,2] = ["chat", "text-generation"] llama_model_loader: - kv 13: general.languages arr[str,1] = ["en"] llama_model_loader: - kv 14: qwen2.block_count u32 = 24 llama_model_loader: - kv 15: qwen2.context_length u32 = 32768 llama_model_loader: - kv 16: qwen2.embedding_length u32 = 896 llama_model_loader: - kv 17: qwen2.feed_forward_length u32 = 4864 llama_model_loader: - kv 18: qwen2.attention.head_count u32 = 14 llama_model_loader: - kv 19: qwen2.attention.head_count_kv u32 = 2 llama_model_loader: - kv 20: qwen2.rope.freq_base f32 = 1000000.000000 llama_model_loader: - kv 21: qwen2.attention.layer_norm_rms_epsilon f32 = 0.000001 llama_model_loader: - kv 22: general.file_type u32 = 15 llama_model_loader: - kv 23: tokenizer.ggml.model str = gpt2 llama_model_loader: - kv 24: tokenizer.ggml.pre str = qwen2 llama_model_loader: - kv 25: tokenizer.ggml.tokens arr[str,151936] = ["!", "\"", "#", "$", "%", "&", "'", ... llama_model_loader: - kv 26: tokenizer.ggml.token_type arr[i32,151936] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... llama_model_loader: - kv 27: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",... llama_model_loader: - kv 28: tokenizer.ggml.eos_token_id u32 = 151645 llama_model_loader: - kv 29: tokenizer.ggml.padding_token_id u32 = 151643 llama_model_loader: - kv 30: tokenizer.ggml.bos_token_id u32 = 151643 llama_model_loader: - kv 31: tokenizer.ggml.add_bos_token bool = false llama_model_loader: - kv 32: tokenizer.chat_template str = {%- if tools %}\n {{- '<|im_start|>... llama_model_loader: - kv 33: general.quantization_version u32 = 2 llama_model_loader: - type f32: 121 tensors llama_model_loader: - type q5_0: 132 tensors llama_model_loader: - type q8_0: 13 tensors llama_model_loader: - type q4_K: 12 tensors llama_model_loader: - type q6_K: 12 tensors print_info: file format = GGUF V3 (latest) print_info: file type = Q4_K - Medium print_info: file size = 373.71 MiB (6.35 BPW) 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 = 494.03 M print_info: general.name = Qwen2.5 0.5B Instruct print_info: vocab type = BPE print_info: n_vocab = 151936 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=2025-03-30T15:36:22.055+08:00 level=INFO source=server.go:405 msg="starting llama server" cmd="C:\\Users\\chen\\AppData\\Local\\Programs\\Ollama\\ollama.exe runner --model C:\\Users\\chen\\.ollama\\models\\blobs\\sha256-c5396e06af294bd101b30dce59131a76d2b773e76950acc870eda801d3ab0515 --ctx-size 8192 --batch-size 512 --n-gpu-layers 25 --threads 12 --parallel 4 --port 49982" time=2025-03-30T15:36:22.069+08:00 level=INFO source=sched.go:450 msg="loaded runners" count=1 time=2025-03-30T15:36:22.069+08:00 level=INFO source=server.go:580 msg="waiting for llama runner to start responding" time=2025-03-30T15:36:22.069+08:00 level=INFO source=server.go:614 msg="waiting for server to become available" status="llm server error" time=2025-03-30T15:36:22.087+08:00 level=INFO source=runner.go:846 msg="starting go runner" ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no ggml_cuda_init: found 1 ROCm devices: Device 0: AMD Radeon RX 7900 XT, gfx1100 (0x1100), VMM: no, Wave Size: 32 load_backend: loaded ROCm backend from C:\Users\chen\AppData\Local\Programs\Ollama\lib\ollama\rocm\ggml-hip.dll load_backend: loaded CPU backend from C:\Users\chen\AppData\Local\Programs\Ollama\lib\ollama\ggml-cpu-haswell.dll time=2025-03-30T15:36:22.125+08:00 level=INFO source=ggml.go:109 msg=system CPU.0.SSE3=1 CPU.0.SSSE3=1 CPU.0.AVX=1 CPU.0.AVX2=1 CPU.0.F16C=1 CPU.0.FMA=1 CPU.0.LLAMAFILE=1 CPU.1.LLAMAFILE=1 ROCm.0.NO_VMM=1 ROCm.0.NO_PEER_COPY=1 ROCm.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(clang) time=2025-03-30T15:36:22.125+08:00 level=INFO source=runner.go:906 msg="Server listening on 127.0.0.1:49982" time=2025-03-30T15:36:22.320+08:00 level=INFO source=server.go:614 msg="waiting for server to become available" status="llm server loading model" llama_model_load_from_file_impl: using device ROCm0 (AMD Radeon RX 7900 XT) - 20314 MiB free llama_model_loader: loaded meta data with 34 key-value pairs and 290 tensors from C:\Users\chen\.ollama\models\blobs\sha256-c5396e06af294bd101b30dce59131a76d2b773e76950acc870eda801d3ab0515 (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 0.5B Instruct llama_model_loader: - kv 3: general.finetune str = Instruct llama_model_loader: - kv 4: general.basename str = Qwen2.5 llama_model_loader: - kv 5: general.size_label str = 0.5B llama_model_loader: - kv 6: general.license str = apache-2.0 llama_model_loader: - kv 7: general.license.link str = https://huggingface.co/Qwen/Qwen2.5-0... llama_model_loader: - kv 8: general.base_model.count u32 = 1 llama_model_loader: - kv 9: general.base_model.0.name str = Qwen2.5 0.5B 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/Qwen2.5-0.5B llama_model_loader: - kv 12: general.tags arr[str,2] = ["chat", "text-generation"] llama_model_loader: - kv 13: general.languages arr[str,1] = ["en"] llama_model_loader: - kv 14: qwen2.block_count u32 = 24 llama_model_loader: - kv 15: qwen2.context_length u32 = 32768 llama_model_loader: - kv 16: qwen2.embedding_length u32 = 896 llama_model_loader: - kv 17: qwen2.feed_forward_length u32 = 4864 llama_model_loader: - kv 18: qwen2.attention.head_count u32 = 14 llama_model_loader: - kv 19: qwen2.attention.head_count_kv u32 = 2 llama_model_loader: - kv 20: qwen2.rope.freq_base f32 = 1000000.000000 llama_model_loader: - kv 21: qwen2.attention.layer_norm_rms_epsilon f32 = 0.000001 llama_model_loader: - kv 22: general.file_type u32 = 15 llama_model_loader: - kv 23: tokenizer.ggml.model str = gpt2 llama_model_loader: - kv 24: tokenizer.ggml.pre str = qwen2 llama_model_loader: - kv 25: tokenizer.ggml.tokens arr[str,151936] = ["!", "\"", "#", "$", "%", "&", "'", ... llama_model_loader: - kv 26: tokenizer.ggml.token_type arr[i32,151936] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... llama_model_loader: - kv 27: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",... llama_model_loader: - kv 28: tokenizer.ggml.eos_token_id u32 = 151645 llama_model_loader: - kv 29: tokenizer.ggml.padding_token_id u32 = 151643 llama_model_loader: - kv 30: tokenizer.ggml.bos_token_id u32 = 151643 llama_model_loader: - kv 31: tokenizer.ggml.add_bos_token bool = false llama_model_loader: - kv 32: tokenizer.chat_template str = {%- if tools %}\n {{- '<|im_start|>... llama_model_loader: - kv 33: general.quantization_version u32 = 2 llama_model_loader: - type f32: 121 tensors llama_model_loader: - type q5_0: 132 tensors llama_model_loader: - type q8_0: 13 tensors llama_model_loader: - type q4_K: 12 tensors llama_model_loader: - type q6_K: 12 tensors print_info: file format = GGUF V3 (latest) print_info: file type = Q4_K - Medium print_info: file size = 373.71 MiB (6.35 BPW) 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 = 32768 print_info: n_embd = 896 print_info: n_layer = 24 print_info: n_head = 14 print_info: n_head_kv = 2 print_info: n_rot = 64 print_info: n_swa = 0 print_info: n_embd_head_k = 64 print_info: n_embd_head_v = 64 print_info: n_gqa = 7 print_info: n_embd_k_gqa = 128 print_info: n_embd_v_gqa = 128 print_info: f_norm_eps = 0.0e+00 print_info: f_norm_rms_eps = 1.0e-06 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 = 4864 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 = 1000000.0 print_info: freq_scale_train = 1 print_info: n_ctx_orig_yarn = 32768 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 = 1B print_info: model params = 494.03 M print_info: general.name = Qwen2.5 0.5B Instruct print_info: vocab type = BPE print_info: n_vocab = 151936 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 = true) load_tensors: offloading 24 repeating layers to GPU load_tensors: offloading output layer to GPU load_tensors: offloaded 25/25 layers to GPU load_tensors: ROCm0 model buffer size = 373.73 MiB load_tensors: CPU_Mapped model buffer size = 137.94 MiB 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 = 1000000.0 llama_init_from_model: freq_scale = 1 llama_init_from_model: n_ctx_per_seq (2048) < n_ctx_train (32768) -- 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 = 24, can_shift = 1 llama_kv_cache_init: ROCm0 KV buffer size = 96.00 MiB llama_init_from_model: KV self size = 96.00 MiB, K (f16): 48.00 MiB, V (f16): 48.00 MiB llama_init_from_model: ROCm_Host output buffer size = 2.33 MiB D:\a\llama.cpp\llama.cpp\ggml\src\ggml.c:1721: GGML_ASSERT(tensor->op == GGML_OP_UNARY) failed time=2025-03-30T15:36:24.112+08:00 level=INFO source=server.go:614 msg="waiting for server to become available" status="llm server error" time=2025-03-30T15:36:24.141+08:00 level=ERROR source=server.go:449 msg="llama runner terminated" error="exit status 0xc0000409" time=2025-03-30T15:36:24.362+08:00 level=ERROR source=sched.go:456 msg="error loading llama server" error="llama runner process has terminated: GGML_ASSERT(tensor->op == GGML_OP_UNARY) failed" [GIN] 2025/03/30 - 15:36:24 | 500 | 3.8306236s | 127.0.0.1 | POST "/api/generate" ``` ### OS Windows ### GPU AMD ### CPU AMD ### Ollama version 0.5.13-0.6.3
GiteaMirror added the bug label 2026-04-22 13:32:02 -05:00
GiteaMirror commented 2026-04-22 13:32:04 -05:00
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@rick-github commented on GitHub (Mar 30, 2025):

#9509

<!-- gh-comment-id:2764457316 --> @rick-github commented on GitHub (Mar 30, 2025): #9509
GiteaMirror commented 2026-04-22 13:32:05 -05:00
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@wszgrcy commented on GitHub (Mar 30, 2025):

remove llama.cpp in PATH

<!-- gh-comment-id:2764460245 --> @wszgrcy commented on GitHub (Mar 30, 2025): remove llama.cpp in `PATH`
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Reference: github-starred/ollama#32348
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