github-starred/ollama
2
0
Fork 0
mirror of https://github.com/ollama/ollama.git synced 2026-05-06 16:11:34 -05:00
Code Issues 14.5k Packages Projects Releases 120 Wiki Activity

[GH-ISSUE #10495] Error: llama runner process has terminated: GGML_ASSERT(tensor->op == GGML_OP_UNARY) failed #53416

New Issue
Closed
opened 2026-04-29 03:04:26 -05:00 by GiteaMirror · 5 comments
GiteaMirror commented 2026-04-29 03:04:26 -05:00
Owner
Copy Link

Originally created by @Jasonchanlan on GitHub (Apr 30, 2025).
Original GitHub issue: https://github.com/ollama/ollama/issues/10495

What is the issue?

在windows执行ollama run deepseek-r1:7b，报错：
Error: llama runner process has terminated: GGML_ASSERT(tensor->op == GGML_OP_UNARY) failed

Relevant log output

2025/04/30 11:53:47 routes.go:1232: 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:4096 OLLAMA_DEBUG:false OLLAMA_FLASH_ATTENTION:false OLLAMA_GPU_OVERHEAD:0 OLLAMA_HOST:http://0.0.0.0:11434 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:30 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=2025-04-30T11:53:47.483+08:00 level=INFO source=images.go:458 msg="total blobs: 15"
time=2025-04-30T11:53:47.483+08:00 level=INFO source=images.go:465 msg="total unused blobs removed: 0"
time=2025-04-30T11:53:47.484+08:00 level=INFO source=routes.go:1299 msg="Listening on [::]:11434 (version 0.6.7-rc1)"
time=2025-04-30T11:53:47.484+08:00 level=INFO source=gpu.go:217 msg="looking for compatible GPUs"
time=2025-04-30T11:53:47.484+08:00 level=INFO source=gpu_windows.go:167 msg=packages count=1
time=2025-04-30T11:53:47.484+08:00 level=INFO source=gpu_windows.go:214 msg="" package=0 cores=6 efficiency=0 threads=12
time=2025-04-30T11:53:47.618+08:00 level=INFO source=gpu.go:319 msg="detected OS VRAM overhead" id=GPU-1cf69134-a34e-58d2-a48d-89ca06a9b0bf library=cuda compute=6.1 driver=12.6 name="Tesla P40" overhead="146.4 MiB"
time=2025-04-30T11:53:47.619+08:00 level=INFO source=types.go:130 msg="inference compute" id=GPU-1cf69134-a34e-58d2-a48d-89ca06a9b0bf library=cuda variant=v12 compute=6.1 driver=12.6 name="Tesla P40" total="23.9 GiB" available="23.7 GiB"
[GIN] 2025/04/30 - 11:55:20 | 200 |            0s |       127.0.0.1 | GET      "/api/version"
[GIN] 2025/04/30 - 11:55:24 | 200 |            0s |       127.0.0.1 | HEAD     "/"
[GIN] 2025/04/30 - 11:55:24 | 200 |       1.037ms |       127.0.0.1 | GET      "/api/tags"
[GIN] 2025/04/30 - 11:55:52 | 200 |            0s |       127.0.0.1 | HEAD     "/"
[GIN] 2025/04/30 - 11:55:52 | 404 |      1.0418ms |       127.0.0.1 | POST     "/api/show"
time=2025-04-30T11:55:53.866+08:00 level=INFO source=download.go:177 msg="downloading 96c415656d37 in 16 292 MB part(s)"
time=2025-04-30T11:56:54.725+08:00 level=INFO source=download.go:295 msg="96c415656d37 part 7 attempt 0 failed: unexpected EOF, retrying in 1s"
time=2025-04-30T12:02:49.862+08:00 level=INFO source=download.go:177 msg="downloading 369ca498f347 in 1 387 B part(s)"
time=2025-04-30T12:02:51.437+08:00 level=INFO source=download.go:177 msg="downloading 6e4c38e1172f in 1 1.1 KB part(s)"
time=2025-04-30T12:02:53.043+08:00 level=INFO source=download.go:177 msg="downloading f4d24e9138dd in 1 148 B part(s)"
time=2025-04-30T12:02:54.645+08:00 level=INFO source=download.go:177 msg="downloading 40fb844194b2 in 1 487 B part(s)"
[GIN] 2025/04/30 - 12:02:58 | 200 |          7m6s |       127.0.0.1 | POST     "/api/pull"
time=2025-04-30T12:02:58.888+08:00 level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32
time=2025-04-30T12:02:58.897+08:00 level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32
[GIN] 2025/04/30 - 12:02:58 | 200 |     20.3874ms |       127.0.0.1 | POST     "/api/show"
time=2025-04-30T12:02:58.909+08:00 level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32
time=2025-04-30T12:02:58.944+08:00 level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32
time=2025-04-30T12:02:58.952+08:00 level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32
time=2025-04-30T12:02:58.953+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.vision.block_count default=0
time=2025-04-30T12:02:58.953+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.attention.key_length default=128
time=2025-04-30T12:02:58.953+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.attention.value_length default=128
time=2025-04-30T12:02:58.954+08:00 level=INFO source=sched.go:722 msg="new model will fit in available VRAM in single GPU, loading" model=D:\ollama_models\blobs\sha256-96c415656d377afbff962f6cdb2394ab092ccbcbaab4b82525bc4ca800fe8a49 gpu=GPU-1cf69134-a34e-58d2-a48d-89ca06a9b0bf parallel=30 available=25500450816 required="18.3 GiB"
time=2025-04-30T12:02:58.966+08:00 level=INFO source=server.go:105 msg="system memory" total="31.3 GiB" free="26.2 GiB" free_swap="28.1 GiB"
time=2025-04-30T12:02:58.966+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.vision.block_count default=0
time=2025-04-30T12:02:58.966+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.attention.key_length default=128
time=2025-04-30T12:02:58.966+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.attention.value_length default=128
time=2025-04-30T12:02:58.966+08:00 level=INFO source=server.go:138 msg=offload library=cuda layers.requested=-1 layers.model=29 layers.offload=29 layers.split="" memory.available="[23.7 GiB]" memory.gpu_overhead="0 B" memory.required.full="18.3 GiB" memory.required.partial="18.3 GiB" memory.required.kv="6.6 GiB" memory.required.allocations="[18.3 GiB]" memory.weights.total="4.1 GiB" memory.weights.repeating="3.7 GiB" memory.weights.nonrepeating="426.4 MiB" memory.graph.full="6.8 GiB" memory.graph.partial="8.5 GiB"
llama_model_loader: loaded meta data with 26 key-value pairs and 339 tensors from D:\ollama_models\blobs\sha256-96c415656d377afbff962f6cdb2394ab092ccbcbaab4b82525bc4ca800fe8a49 (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              = DeepSeek R1 Distill Qwen 7B
llama_model_loader: - kv   3:                           general.basename str              = DeepSeek-R1-Distill-Qwen
llama_model_loader: - kv   4:                         general.size_label str              = 7B
llama_model_loader: - kv   5:                          qwen2.block_count u32              = 28
llama_model_loader: - kv   6:                       qwen2.context_length u32              = 131072
llama_model_loader: - kv   7:                     qwen2.embedding_length u32              = 3584
llama_model_loader: - kv   8:                  qwen2.feed_forward_length u32              = 18944
llama_model_loader: - kv   9:                 qwen2.attention.head_count u32              = 28
llama_model_loader: - kv  10:              qwen2.attention.head_count_kv u32              = 4
llama_model_loader: - kv  11:                       qwen2.rope.freq_base f32              = 10000.000000
llama_model_loader: - kv  12:     qwen2.attention.layer_norm_rms_epsilon f32              = 0.000001
llama_model_loader: - kv  13:                          general.file_type u32              = 15
llama_model_loader: - kv  14:                       tokenizer.ggml.model str              = gpt2
llama_model_loader: - kv  15:                         tokenizer.ggml.pre str              = qwen2
llama_model_loader: - kv  16:                      tokenizer.ggml.tokens arr[str,152064]  = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv  17:                  tokenizer.ggml.token_type arr[i32,152064]  = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv  18:                      tokenizer.ggml.merges arr[str,151387]  = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv  19:                tokenizer.ggml.bos_token_id u32              = 151646
llama_model_loader: - kv  20:                tokenizer.ggml.eos_token_id u32              = 151643
llama_model_loader: - kv  21:            tokenizer.ggml.padding_token_id u32              = 151643
llama_model_loader: - kv  22:               tokenizer.ggml.add_bos_token bool             = true
llama_model_loader: - kv  23:               tokenizer.ggml.add_eos_token bool             = false
llama_model_loader: - kv  24:                    tokenizer.chat_template str              = {% if not add_generation_prompt is de...
llama_model_loader: - kv  25:               general.quantization_version u32              = 2
llama_model_loader: - type  f32:  141 tensors
llama_model_loader: - type q4_K:  169 tensors
llama_model_loader: - type q6_K:   29 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type   = Q4_K - Medium
print_info: file size   = 4.36 GiB (4.91 BPW) 
load: special_eos_id is not in special_eog_ids - the tokenizer config may be incorrect
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     = 7.62 B
print_info: general.name     = DeepSeek R1 Distill Qwen 7B
print_info: vocab type       = BPE
print_info: n_vocab          = 152064
print_info: n_merges         = 151387
print_info: BOS token        = 151646 '<｜begin▁of▁sentence｜>'
print_info: EOS token        = 151643 '<｜end▁of▁sentence｜>'
print_info: EOT token        = 151643 '<｜end▁of▁sentence｜>'
print_info: PAD token        = 151643 '<｜end▁of▁sentence｜>'
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 '<｜end▁of▁sentence｜>'
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=2025-04-30T12:02:59.113+08:00 level=INFO source=server.go:405 msg="starting llama server" cmd="C:\\Users\\Admin\\AppData\\Local\\Programs\\Ollama\\ollama.exe runner --model D:\\ollama_models\\blobs\\sha256-96c415656d377afbff962f6cdb2394ab092ccbcbaab4b82525bc4ca800fe8a49 --ctx-size 122880 --batch-size 512 --n-gpu-layers 29 --threads 6 --no-mmap --parallel 30 --port 1323"
time=2025-04-30T12:02:59.124+08:00 level=INFO source=sched.go:451 msg="loaded runners" count=1
time=2025-04-30T12:02:59.124+08:00 level=INFO source=server.go:580 msg="waiting for llama runner to start responding"
time=2025-04-30T12:02:59.126+08:00 level=INFO source=server.go:614 msg="waiting for server to become available" status="llm server error"
time=2025-04-30T12:02:59.144+08:00 level=INFO source=runner.go:853 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 CUDA devices:
  Device 0: Tesla P40, compute capability 6.1, VMM: no
load_backend: loaded CUDA backend from C:\Users\Admin\AppData\Local\Programs\Ollama\lib\ollama\cuda_v12\ggml-cuda.dll
load_backend: loaded CPU backend from C:\Users\Admin\AppData\Local\Programs\Ollama\lib\ollama\ggml-cpu-alderlake.dll
time=2025-04-30T12:02:59.292+08:00 level=INFO source=ggml.go:109 msg=system CPU.0.SSE3=1 CPU.0.SSSE3=1 CPU.0.AVX=1 CPU.0.AVX_VNNI=1 CPU.0.AVX2=1 CPU.0.F16C=1 CPU.0.FMA=1 CPU.0.BMI2=1 CPU.0.LLAMAFILE=1 CPU.1.LLAMAFILE=1 CUDA.0.ARCHS=500,600,610,700,750,800,860,870,890,900,1200 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(clang)
time=2025-04-30T12:02:59.293+08:00 level=INFO source=runner.go:913 msg="Server listening on 127.0.0.1:1323"
llama_model_load_from_file_impl: using device CUDA0 (Tesla P40) - 24319 MiB free
llama_model_loader: loaded meta data with 26 key-value pairs and 339 tensors from D:\ollama_models\blobs\sha256-96c415656d377afbff962f6cdb2394ab092ccbcbaab4b82525bc4ca800fe8a49 (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              = DeepSeek R1 Distill Qwen 7B
llama_model_loader: - kv   3:                           general.basename str              = DeepSeek-R1-Distill-Qwen
llama_model_loader: - kv   4:                         general.size_label str              = 7B
llama_model_loader: - kv   5:                          qwen2.block_count u32              = 28
llama_model_loader: - kv   6:                       qwen2.context_length u32              = 131072
llama_model_loader: - kv   7:                     qwen2.embedding_length u32              = 3584
llama_model_loader: - kv   8:                  qwen2.feed_forward_length u32              = 18944
llama_model_loader: - kv   9:                 qwen2.attention.head_count u32              = 28
llama_model_loader: - kv  10:              qwen2.attention.head_count_kv u32              = 4
llama_model_loader: - kv  11:                       qwen2.rope.freq_base f32              = 10000.000000
llama_model_loader: - kv  12:     qwen2.attention.layer_norm_rms_epsilon f32              = 0.000001
llama_model_loader: - kv  13:                          general.file_type u32              = 15
llama_model_loader: - kv  14:                       tokenizer.ggml.model str              = gpt2
llama_model_loader: - kv  15:                         tokenizer.ggml.pre str              = qwen2
time=2025-04-30T12:02:59.377+08:00 level=INFO source=server.go:614 msg="waiting for server to become available" status="llm server loading model"
llama_model_loader: - kv  16:                      tokenizer.ggml.tokens arr[str,152064]  = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv  17:                  tokenizer.ggml.token_type arr[i32,152064]  = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv  18:                      tokenizer.ggml.merges arr[str,151387]  = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv  19:                tokenizer.ggml.bos_token_id u32              = 151646
llama_model_loader: - kv  20:                tokenizer.ggml.eos_token_id u32              = 151643
llama_model_loader: - kv  21:            tokenizer.ggml.padding_token_id u32              = 151643
llama_model_loader: - kv  22:               tokenizer.ggml.add_bos_token bool             = true
llama_model_loader: - kv  23:               tokenizer.ggml.add_eos_token bool             = false
llama_model_loader: - kv  24:                    tokenizer.chat_template str              = {% if not add_generation_prompt is de...
llama_model_loader: - kv  25:               general.quantization_version u32              = 2
llama_model_loader: - type  f32:  141 tensors
llama_model_loader: - type q4_K:  169 tensors
llama_model_loader: - type q6_K:   29 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type   = Q4_K - Medium
print_info: file size   = 4.36 GiB (4.91 BPW) 
load: special_eos_id is not in special_eog_ids - the tokenizer config may be incorrect
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      = 131072
print_info: n_embd           = 3584
print_info: n_layer          = 28
print_info: n_head           = 28
print_info: n_head_kv        = 4
print_info: n_rot            = 128
print_info: n_swa            = 0
print_info: n_swa_pattern    = 1
print_info: n_embd_head_k    = 128
print_info: n_embd_head_v    = 128
print_info: n_gqa            = 7
print_info: n_embd_k_gqa     = 512
print_info: n_embd_v_gqa     = 512
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: f_attn_scale     = 0.0e+00
print_info: n_ff             = 18944
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  = 10000.0
print_info: freq_scale_train = 1
print_info: n_ctx_orig_yarn  = 131072
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       = 7B
print_info: model params     = 7.62 B
print_info: general.name     = DeepSeek R1 Distill Qwen 7B
print_info: vocab type       = BPE
print_info: n_vocab          = 152064
print_info: n_merges         = 151387
print_info: BOS token        = 151646 '<｜begin▁of▁sentence｜>'
print_info: EOS token        = 151643 '<｜end▁of▁sentence｜>'
print_info: EOT token        = 151643 '<｜end▁of▁sentence｜>'
print_info: PAD token        = 151643 '<｜end▁of▁sentence｜>'
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 '<｜end▁of▁sentence｜>'
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: offloading 28 repeating layers to GPU
load_tensors: offloading output layer to GPU
load_tensors: offloaded 29/29 layers to GPU
load_tensors:        CUDA0 model buffer size =  4168.09 MiB
load_tensors:          CPU model buffer size =   292.36 MiB
llama_context: constructing llama_context
llama_context: n_seq_max     = 30
llama_context: n_ctx         = 122880
llama_context: n_ctx_per_seq = 4096
llama_context: n_batch       = 15360
llama_context: n_ubatch      = 512
llama_context: causal_attn   = 1
llama_context: flash_attn    = 0
llama_context: freq_base     = 10000.0
llama_context: freq_scale    = 1
llama_context: n_ctx_per_seq (4096) < n_ctx_train (131072) -- the full capacity of the model will not be utilized
llama_context:  CUDA_Host  output buffer size =    17.81 MiB
init: kv_size = 122880, offload = 1, type_k = 'f16', type_v = 'f16', n_layer = 28, can_shift = 1
init:      CUDA0 KV buffer size =  6720.00 MiB
llama_context: KV self size  = 6720.00 MiB, K (f16): 3360.00 MiB, V (f16): 3360.00 MiB
E:\llama.cpp\ggml\src\ggml.c:1721: GGML_ASSERT(tensor->op == GGML_OP_UNARY) failed
time=2025-04-30T12:03:00.442+08:00 level=ERROR source=server.go:449 msg="llama runner terminated" error="exit status 0xc0000409"
time=2025-04-30T12:03:00.630+08:00 level=ERROR source=sched.go:457 msg="error loading llama server" error="llama runner process has terminated: GGML_ASSERT(tensor->op == GGML_OP_UNARY) failed"
[GIN] 2025/04/30 - 12:03:00 | 500 |    1.7245555s |       127.0.0.1 | POST     "/api/generate"
time=2025-04-30T12:03:05.650+08:00 level=WARN source=sched.go:648 msg="gpu VRAM usage didn't recover within timeout" seconds=5.020428 model=D:\ollama_models\blobs\sha256-96c415656d377afbff962f6cdb2394ab092ccbcbaab4b82525bc4ca800fe8a49
time=2025-04-30T12:03:05.900+08:00 level=WARN source=sched.go:648 msg="gpu VRAM usage didn't recover within timeout" seconds=5.2706355 model=D:\ollama_models\blobs\sha256-96c415656d377afbff962f6cdb2394ab092ccbcbaab4b82525bc4ca800fe8a49
time=2025-04-30T12:03:06.151+08:00 level=WARN source=sched.go:648 msg="gpu VRAM usage didn't recover within timeout" seconds=5.5208618000000005 model=D:\ollama_models\blobs\sha256-96c415656d377afbff962f6cdb2394ab092ccbcbaab4b82525bc4ca800fe8a49

OS

Windows

GPU

Nvidia

CPU

Intel

Ollama version

0.6.7-rc1

Originally created by @Jasonchanlan on GitHub (Apr 30, 2025). Original GitHub issue: https://github.com/ollama/ollama/issues/10495 ### What is the issue? 在windows执行ollama run deepseek-r1:7b，报错： Error: llama runner process has terminated: GGML_ASSERT(tensor->op == GGML_OP_UNARY) failed ### Relevant log output ```shell 2025/04/30 11:53:47 routes.go:1232: 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:4096 OLLAMA_DEBUG:false OLLAMA_FLASH_ATTENTION:false OLLAMA_GPU_OVERHEAD:0 OLLAMA_HOST:http://0.0.0.0:11434 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:30 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=2025-04-30T11:53:47.483+08:00 level=INFO source=images.go:458 msg="total blobs: 15" time=2025-04-30T11:53:47.483+08:00 level=INFO source=images.go:465 msg="total unused blobs removed: 0" time=2025-04-30T11:53:47.484+08:00 level=INFO source=routes.go:1299 msg="Listening on [::]:11434 (version 0.6.7-rc1)" time=2025-04-30T11:53:47.484+08:00 level=INFO source=gpu.go:217 msg="looking for compatible GPUs" time=2025-04-30T11:53:47.484+08:00 level=INFO source=gpu_windows.go:167 msg=packages count=1 time=2025-04-30T11:53:47.484+08:00 level=INFO source=gpu_windows.go:214 msg="" package=0 cores=6 efficiency=0 threads=12 time=2025-04-30T11:53:47.618+08:00 level=INFO source=gpu.go:319 msg="detected OS VRAM overhead" id=GPU-1cf69134-a34e-58d2-a48d-89ca06a9b0bf library=cuda compute=6.1 driver=12.6 name="Tesla P40" overhead="146.4 MiB" time=2025-04-30T11:53:47.619+08:00 level=INFO source=types.go:130 msg="inference compute" id=GPU-1cf69134-a34e-58d2-a48d-89ca06a9b0bf library=cuda variant=v12 compute=6.1 driver=12.6 name="Tesla P40" total="23.9 GiB" available="23.7 GiB" [GIN] 2025/04/30 - 11:55:20 | 200 | 0s | 127.0.0.1 | GET "/api/version" [GIN] 2025/04/30 - 11:55:24 | 200 | 0s | 127.0.0.1 | HEAD "/" [GIN] 2025/04/30 - 11:55:24 | 200 | 1.037ms | 127.0.0.1 | GET "/api/tags" [GIN] 2025/04/30 - 11:55:52 | 200 | 0s | 127.0.0.1 | HEAD "/" [GIN] 2025/04/30 - 11:55:52 | 404 | 1.0418ms | 127.0.0.1 | POST "/api/show" time=2025-04-30T11:55:53.866+08:00 level=INFO source=download.go:177 msg="downloading 96c415656d37 in 16 292 MB part(s)" time=2025-04-30T11:56:54.725+08:00 level=INFO source=download.go:295 msg="96c415656d37 part 7 attempt 0 failed: unexpected EOF, retrying in 1s" time=2025-04-30T12:02:49.862+08:00 level=INFO source=download.go:177 msg="downloading 369ca498f347 in 1 387 B part(s)" time=2025-04-30T12:02:51.437+08:00 level=INFO source=download.go:177 msg="downloading 6e4c38e1172f in 1 1.1 KB part(s)" time=2025-04-30T12:02:53.043+08:00 level=INFO source=download.go:177 msg="downloading f4d24e9138dd in 1 148 B part(s)" time=2025-04-30T12:02:54.645+08:00 level=INFO source=download.go:177 msg="downloading 40fb844194b2 in 1 487 B part(s)" [GIN] 2025/04/30 - 12:02:58 | 200 | 7m6s | 127.0.0.1 | POST "/api/pull" time=2025-04-30T12:02:58.888+08:00 level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32 time=2025-04-30T12:02:58.897+08:00 level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32 [GIN] 2025/04/30 - 12:02:58 | 200 | 20.3874ms | 127.0.0.1 | POST "/api/show" time=2025-04-30T12:02:58.909+08:00 level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32 time=2025-04-30T12:02:58.944+08:00 level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32 time=2025-04-30T12:02:58.952+08:00 level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32 time=2025-04-30T12:02:58.953+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.vision.block_count default=0 time=2025-04-30T12:02:58.953+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.attention.key_length default=128 time=2025-04-30T12:02:58.953+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.attention.value_length default=128 time=2025-04-30T12:02:58.954+08:00 level=INFO source=sched.go:722 msg="new model will fit in available VRAM in single GPU, loading" model=D:\ollama_models\blobs\sha256-96c415656d377afbff962f6cdb2394ab092ccbcbaab4b82525bc4ca800fe8a49 gpu=GPU-1cf69134-a34e-58d2-a48d-89ca06a9b0bf parallel=30 available=25500450816 required="18.3 GiB" time=2025-04-30T12:02:58.966+08:00 level=INFO source=server.go:105 msg="system memory" total="31.3 GiB" free="26.2 GiB" free_swap="28.1 GiB" time=2025-04-30T12:02:58.966+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.vision.block_count default=0 time=2025-04-30T12:02:58.966+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.attention.key_length default=128 time=2025-04-30T12:02:58.966+08:00 level=WARN source=ggml.go:152 msg="key not found" key=qwen2.attention.value_length default=128 time=2025-04-30T12:02:58.966+08:00 level=INFO source=server.go:138 msg=offload library=cuda layers.requested=-1 layers.model=29 layers.offload=29 layers.split="" memory.available="[23.7 GiB]" memory.gpu_overhead="0 B" memory.required.full="18.3 GiB" memory.required.partial="18.3 GiB" memory.required.kv="6.6 GiB" memory.required.allocations="[18.3 GiB]" memory.weights.total="4.1 GiB" memory.weights.repeating="3.7 GiB" memory.weights.nonrepeating="426.4 MiB" memory.graph.full="6.8 GiB" memory.graph.partial="8.5 GiB" llama_model_loader: loaded meta data with 26 key-value pairs and 339 tensors from D:\ollama_models\blobs\sha256-96c415656d377afbff962f6cdb2394ab092ccbcbaab4b82525bc4ca800fe8a49 (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 = DeepSeek R1 Distill Qwen 7B llama_model_loader: - kv 3: general.basename str = DeepSeek-R1-Distill-Qwen llama_model_loader: - kv 4: general.size_label str = 7B llama_model_loader: - kv 5: qwen2.block_count u32 = 28 llama_model_loader: - kv 6: qwen2.context_length u32 = 131072 llama_model_loader: - kv 7: qwen2.embedding_length u32 = 3584 llama_model_loader: - kv 8: qwen2.feed_forward_length u32 = 18944 llama_model_loader: - kv 9: qwen2.attention.head_count u32 = 28 llama_model_loader: - kv 10: qwen2.attention.head_count_kv u32 = 4 llama_model_loader: - kv 11: qwen2.rope.freq_base f32 = 10000.000000 llama_model_loader: - kv 12: qwen2.attention.layer_norm_rms_epsilon f32 = 0.000001 llama_model_loader: - kv 13: general.file_type u32 = 15 llama_model_loader: - kv 14: tokenizer.ggml.model str = gpt2 llama_model_loader: - kv 15: tokenizer.ggml.pre str = qwen2 llama_model_loader: - kv 16: tokenizer.ggml.tokens arr[str,152064] = ["!", "\"", "#", "$", "%", "&", "'", ... llama_model_loader: - kv 17: tokenizer.ggml.token_type arr[i32,152064] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... llama_model_loader: - kv 18: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",... llama_model_loader: - kv 19: tokenizer.ggml.bos_token_id u32 = 151646 llama_model_loader: - kv 20: tokenizer.ggml.eos_token_id u32 = 151643 llama_model_loader: - kv 21: tokenizer.ggml.padding_token_id u32 = 151643 llama_model_loader: - kv 22: tokenizer.ggml.add_bos_token bool = true llama_model_loader: - kv 23: tokenizer.ggml.add_eos_token bool = false llama_model_loader: - kv 24: tokenizer.chat_template str = {% if not add_generation_prompt is de... llama_model_loader: - kv 25: general.quantization_version u32 = 2 llama_model_loader: - type f32: 141 tensors llama_model_loader: - type q4_K: 169 tensors llama_model_loader: - type q6_K: 29 tensors print_info: file format = GGUF V3 (latest) print_info: file type = Q4_K - Medium print_info: file size = 4.36 GiB (4.91 BPW) load: special_eos_id is not in special_eog_ids - the tokenizer config may be incorrect 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 = 7.62 B print_info: general.name = DeepSeek R1 Distill Qwen 7B print_info: vocab type = BPE print_info: n_vocab = 152064 print_info: n_merges = 151387 print_info: BOS token = 151646 '<｜begin▁of▁sentence｜>' print_info: EOS token = 151643 '<｜end▁of▁sentence｜>' print_info: EOT token = 151643 '<｜end▁of▁sentence｜>' print_info: PAD token = 151643 '<｜end▁of▁sentence｜>' 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 '<｜end▁of▁sentence｜>' 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=2025-04-30T12:02:59.113+08:00 level=INFO source=server.go:405 msg="starting llama server" cmd="C:\\Users\\Admin\\AppData\\Local\\Programs\\Ollama\\ollama.exe runner --model D:\\ollama_models\\blobs\\sha256-96c415656d377afbff962f6cdb2394ab092ccbcbaab4b82525bc4ca800fe8a49 --ctx-size 122880 --batch-size 512 --n-gpu-layers 29 --threads 6 --no-mmap --parallel 30 --port 1323" time=2025-04-30T12:02:59.124+08:00 level=INFO source=sched.go:451 msg="loaded runners" count=1 time=2025-04-30T12:02:59.124+08:00 level=INFO source=server.go:580 msg="waiting for llama runner to start responding" time=2025-04-30T12:02:59.126+08:00 level=INFO source=server.go:614 msg="waiting for server to become available" status="llm server error" time=2025-04-30T12:02:59.144+08:00 level=INFO source=runner.go:853 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 CUDA devices: Device 0: Tesla P40, compute capability 6.1, VMM: no load_backend: loaded CUDA backend from C:\Users\Admin\AppData\Local\Programs\Ollama\lib\ollama\cuda_v12\ggml-cuda.dll load_backend: loaded CPU backend from C:\Users\Admin\AppData\Local\Programs\Ollama\lib\ollama\ggml-cpu-alderlake.dll time=2025-04-30T12:02:59.292+08:00 level=INFO source=ggml.go:109 msg=system CPU.0.SSE3=1 CPU.0.SSSE3=1 CPU.0.AVX=1 CPU.0.AVX_VNNI=1 CPU.0.AVX2=1 CPU.0.F16C=1 CPU.0.FMA=1 CPU.0.BMI2=1 CPU.0.LLAMAFILE=1 CPU.1.LLAMAFILE=1 CUDA.0.ARCHS=500,600,610,700,750,800,860,870,890,900,1200 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(clang) time=2025-04-30T12:02:59.293+08:00 level=INFO source=runner.go:913 msg="Server listening on 127.0.0.1:1323" llama_model_load_from_file_impl: using device CUDA0 (Tesla P40) - 24319 MiB free llama_model_loader: loaded meta data with 26 key-value pairs and 339 tensors from D:\ollama_models\blobs\sha256-96c415656d377afbff962f6cdb2394ab092ccbcbaab4b82525bc4ca800fe8a49 (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 = DeepSeek R1 Distill Qwen 7B llama_model_loader: - kv 3: general.basename str = DeepSeek-R1-Distill-Qwen llama_model_loader: - kv 4: general.size_label str = 7B llama_model_loader: - kv 5: qwen2.block_count u32 = 28 llama_model_loader: - kv 6: qwen2.context_length u32 = 131072 llama_model_loader: - kv 7: qwen2.embedding_length u32 = 3584 llama_model_loader: - kv 8: qwen2.feed_forward_length u32 = 18944 llama_model_loader: - kv 9: qwen2.attention.head_count u32 = 28 llama_model_loader: - kv 10: qwen2.attention.head_count_kv u32 = 4 llama_model_loader: - kv 11: qwen2.rope.freq_base f32 = 10000.000000 llama_model_loader: - kv 12: qwen2.attention.layer_norm_rms_epsilon f32 = 0.000001 llama_model_loader: - kv 13: general.file_type u32 = 15 llama_model_loader: - kv 14: tokenizer.ggml.model str = gpt2 llama_model_loader: - kv 15: tokenizer.ggml.pre str = qwen2 time=2025-04-30T12:02:59.377+08:00 level=INFO source=server.go:614 msg="waiting for server to become available" status="llm server loading model" llama_model_loader: - kv 16: tokenizer.ggml.tokens arr[str,152064] = ["!", "\"", "#", "$", "%", "&", "'", ... llama_model_loader: - kv 17: tokenizer.ggml.token_type arr[i32,152064] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... llama_model_loader: - kv 18: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",... llama_model_loader: - kv 19: tokenizer.ggml.bos_token_id u32 = 151646 llama_model_loader: - kv 20: tokenizer.ggml.eos_token_id u32 = 151643 llama_model_loader: - kv 21: tokenizer.ggml.padding_token_id u32 = 151643 llama_model_loader: - kv 22: tokenizer.ggml.add_bos_token bool = true llama_model_loader: - kv 23: tokenizer.ggml.add_eos_token bool = false llama_model_loader: - kv 24: tokenizer.chat_template str = {% if not add_generation_prompt is de... llama_model_loader: - kv 25: general.quantization_version u32 = 2 llama_model_loader: - type f32: 141 tensors llama_model_loader: - type q4_K: 169 tensors llama_model_loader: - type q6_K: 29 tensors print_info: file format = GGUF V3 (latest) print_info: file type = Q4_K - Medium print_info: file size = 4.36 GiB (4.91 BPW) load: special_eos_id is not in special_eog_ids - the tokenizer config may be incorrect 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 = 131072 print_info: n_embd = 3584 print_info: n_layer = 28 print_info: n_head = 28 print_info: n_head_kv = 4 print_info: n_rot = 128 print_info: n_swa = 0 print_info: n_swa_pattern = 1 print_info: n_embd_head_k = 128 print_info: n_embd_head_v = 128 print_info: n_gqa = 7 print_info: n_embd_k_gqa = 512 print_info: n_embd_v_gqa = 512 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: f_attn_scale = 0.0e+00 print_info: n_ff = 18944 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 = 10000.0 print_info: freq_scale_train = 1 print_info: n_ctx_orig_yarn = 131072 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 = 7B print_info: model params = 7.62 B print_info: general.name = DeepSeek R1 Distill Qwen 7B print_info: vocab type = BPE print_info: n_vocab = 152064 print_info: n_merges = 151387 print_info: BOS token = 151646 '<｜begin▁of▁sentence｜>' print_info: EOS token = 151643 '<｜end▁of▁sentence｜>' print_info: EOT token = 151643 '<｜end▁of▁sentence｜>' print_info: PAD token = 151643 '<｜end▁of▁sentence｜>' 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 '<｜end▁of▁sentence｜>' 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: offloading 28 repeating layers to GPU load_tensors: offloading output layer to GPU load_tensors: offloaded 29/29 layers to GPU load_tensors: CUDA0 model buffer size = 4168.09 MiB load_tensors: CPU model buffer size = 292.36 MiB llama_context: constructing llama_context llama_context: n_seq_max = 30 llama_context: n_ctx = 122880 llama_context: n_ctx_per_seq = 4096 llama_context: n_batch = 15360 llama_context: n_ubatch = 512 llama_context: causal_attn = 1 llama_context: flash_attn = 0 llama_context: freq_base = 10000.0 llama_context: freq_scale = 1 llama_context: n_ctx_per_seq (4096) < n_ctx_train (131072) -- the full capacity of the model will not be utilized llama_context: CUDA_Host output buffer size = 17.81 MiB init: kv_size = 122880, offload = 1, type_k = 'f16', type_v = 'f16', n_layer = 28, can_shift = 1 init: CUDA0 KV buffer size = 6720.00 MiB llama_context: KV self size = 6720.00 MiB, K (f16): 3360.00 MiB, V (f16): 3360.00 MiB E:\llama.cpp\ggml\src\ggml.c:1721: GGML_ASSERT(tensor->op == GGML_OP_UNARY) failed time=2025-04-30T12:03:00.442+08:00 level=ERROR source=server.go:449 msg="llama runner terminated" error="exit status 0xc0000409" time=2025-04-30T12:03:00.630+08:00 level=ERROR source=sched.go:457 msg="error loading llama server" error="llama runner process has terminated: GGML_ASSERT(tensor->op == GGML_OP_UNARY) failed" [GIN] 2025/04/30 - 12:03:00 | 500 | 1.7245555s | 127.0.0.1 | POST "/api/generate" time=2025-04-30T12:03:05.650+08:00 level=WARN source=sched.go:648 msg="gpu VRAM usage didn't recover within timeout" seconds=5.020428 model=D:\ollama_models\blobs\sha256-96c415656d377afbff962f6cdb2394ab092ccbcbaab4b82525bc4ca800fe8a49 time=2025-04-30T12:03:05.900+08:00 level=WARN source=sched.go:648 msg="gpu VRAM usage didn't recover within timeout" seconds=5.2706355 model=D:\ollama_models\blobs\sha256-96c415656d377afbff962f6cdb2394ab092ccbcbaab4b82525bc4ca800fe8a49 time=2025-04-30T12:03:06.151+08:00 level=WARN source=sched.go:648 msg="gpu VRAM usage didn't recover within timeout" seconds=5.5208618000000005 model=D:\ollama_models\blobs\sha256-96c415656d377afbff962f6cdb2394ab092ccbcbaab4b82525bc4ca800fe8a49 ``` ### OS Windows ### GPU Nvidia ### CPU Intel ### Ollama version 0.6.7-rc1
GiteaMirror added the bug label 2026-04-29 03:04:26 -05:00
GiteaMirror commented 2026-04-29 03:04:32 -05:00
Author
Owner
Copy Link

@Starphix commented on GitHub (Apr 30, 2025):

I'm getting the same. Tried a clean install and went back to previous stable version... same errors.

<!-- gh-comment-id:2840810384 --> @Starphix commented on GitHub (Apr 30, 2025): I'm getting the same. Tried a clean install and went back to previous stable version... same errors.
GiteaMirror commented 2026-04-29 03:04:34 -05:00
Author
Owner
Copy Link

@rick-github commented on GitHub (Apr 30, 2025):

#9509

<!-- gh-comment-id:2841439645 --> @rick-github commented on GitHub (Apr 30, 2025): #9509
GiteaMirror commented 2026-04-29 03:04:36 -05:00
Author
Owner
Copy Link

@skarabaraks commented on GitHub (Apr 30, 2025):

I am also getting the same. Tried uninstalling/reinstalling ollama (windows)

<!-- gh-comment-id:2842376663 --> @skarabaraks commented on GitHub (Apr 30, 2025): I am also getting the same. Tried uninstalling/reinstalling ollama (windows)
GiteaMirror commented 2026-04-29 03:04:37 -05:00
Author
Owner
Copy Link

@Starphix commented on GitHub (Apr 30, 2025):

Docker just dropped an update as of today, withb bug fix for the llama.cpp issue. In the process of downloading- hopefully that fixes it. 4.41.1

<!-- gh-comment-id:2842386010 --> @Starphix commented on GitHub (Apr 30, 2025): Docker just dropped an update as of today, withb bug fix for the llama.cpp issue. In the process of downloading- hopefully that fixes it. 4.41.1
GiteaMirror commented 2026-04-29 03:04:38 -05:00
Author
Owner
Copy Link

@skarabaraks commented on GitHub (Apr 30, 2025):

Docker just dropped an update as of today, withb bug fix for the llama.cpp issue. In the process of downloading- hopefully that fixes it. 4.41.1

@Starphix thanks for the heads up- updating docker fixed the issue

<!-- gh-comment-id:2842442889 --> @skarabaraks commented on GitHub (Apr 30, 2025): > Docker just dropped an update as of today, withb bug fix for the llama.cpp issue. In the process of downloading- hopefully that fixes it. 4.41.1 @Starphix thanks for the heads up- updating docker fixed the issue
Sign in to join this conversation.
No Branch/Tag Specified
Branches Tags
Labels
Clear labels
amd
api
app
bug
build
cli
cloud
compatibility
context-length
create
docker
documentation
embeddings
feature request
feedback wanted
good first issue
gpt-oss
gpu
harmony
help wanted
image
install
intel
js
launch
linux
macos
memory
mlx
model
needs more info
networking
nvidia
ollama.com
performance
pull-request
Mirrored from GitHub Pull Request
 python
question
registry
rendering
thinking
tools
top
vulkan
windows
wsl
No Label bug
Milestone
No items
No Milestone
Projects
Clear projects
No project
Assignees
Clear assignees
GiteaMirror ninjasurge
No Assignees
1 Participants
Notifications
Due Date
No due date set.
Dependencies

No dependencies set.

Reference: github-starred/ollama#53416
Delete Branch "%!s()"

Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?