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@jaypeche
Created June 24, 2025 16:27
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juin 24 17:53:31 strix systemd[1]: Started Ollama Service.
juin 24 17:53:31 strix ollama[15137]: time=2025-06-24T17:53:31.169+02:00 level=INFO source=routes.go:1234 msg="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:INFO 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:/var/lib/ollama/.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: http_proxy: https_proxy: no_proxy:]"
juin 24 17:53:31 strix ollama[15137]: time=2025-06-24T17:53:31.171+02:00 level=INFO source=images.go:479 msg="total blobs: 17"
juin 24 17:53:31 strix ollama[15137]: time=2025-06-24T17:53:31.171+02:00 level=INFO source=images.go:486 msg="total unused blobs removed: 0"
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] [WARNING] Creating an Engine instance with the Logger and Recovery middleware already attached.
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] [WARNING] Running in "debug" mode. Switch to "release" mode in production.
juin 24 17:53:31 strix ollama[15137]: - using env: export GIN_MODE=release
juin 24 17:53:31 strix ollama[15137]: - using code: gin.SetMode(gin.ReleaseMode)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] HEAD / --> github.com/ollama/ollama/server.(*Server).GenerateRoutes.func1 (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] GET / --> github.com/ollama/ollama/server.(*Server).GenerateRoutes.func2 (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] HEAD /api/version --> github.com/ollama/ollama/server.(*Server).GenerateRoutes.func3 (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] GET /api/version --> github.com/ollama/ollama/server.(*Server).GenerateRoutes.func4 (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] POST /api/pull --> github.com/ollama/ollama/server.(*Server).PullHandler-fm (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] POST /api/push --> github.com/ollama/ollama/server.(*Server).PushHandler-fm (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] HEAD /api/tags --> github.com/ollama/ollama/server.(*Server).ListHandler-fm (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] GET /api/tags --> github.com/ollama/ollama/server.(*Server).ListHandler-fm (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] POST /api/show --> github.com/ollama/ollama/server.(*Server).ShowHandler-fm (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] DELETE /api/delete --> github.com/ollama/ollama/server.(*Server).DeleteHandler-fm (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] POST /api/create --> github.com/ollama/ollama/server.(*Server).CreateHandler-fm (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] POST /api/blobs/:digest --> github.com/ollama/ollama/server.(*Server).CreateBlobHandler-fm (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] HEAD /api/blobs/:digest --> github.com/ollama/ollama/server.(*Server).HeadBlobHandler-fm (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] POST /api/copy --> github.com/ollama/ollama/server.(*Server).CopyHandler-fm (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] GET /api/ps --> github.com/ollama/ollama/server.(*Server).PsHandler-fm (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] POST /api/generate --> github.com/ollama/ollama/server.(*Server).GenerateHandler-fm (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] POST /api/chat --> github.com/ollama/ollama/server.(*Server).ChatHandler-fm (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] POST /api/embed --> github.com/ollama/ollama/server.(*Server).EmbedHandler-fm (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] POST /api/embeddings --> github.com/ollama/ollama/server.(*Server).EmbeddingsHandler-fm (5 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] POST /v1/chat/completions --> github.com/ollama/ollama/server.(*Server).ChatHandler-fm (6 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] POST /v1/completions --> github.com/ollama/ollama/server.(*Server).GenerateHandler-fm (6 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] POST /v1/embeddings --> github.com/ollama/ollama/server.(*Server).EmbedHandler-fm (6 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] GET /v1/models --> github.com/ollama/ollama/server.(*Server).ListHandler-fm (6 handlers)
juin 24 17:53:31 strix ollama[15137]: [GIN-debug] GET /v1/models/:model --> github.com/ollama/ollama/server.(*Server).ShowHandler-fm (6 handlers)
juin 24 17:53:31 strix ollama[15137]: time=2025-06-24T17:53:31.171+02:00 level=INFO source=routes.go:1287 msg="Listening on 127.0.0.1:11434 (version 0.9.0)"
juin 24 17:53:31 strix ollama[15137]: time=2025-06-24T17:53:31.171+02:00 level=INFO source=gpu.go:217 msg="looking for compatible GPUs"
juin 24 17:53:31 strix ollama[15137]: time=2025-06-24T17:53:31.436+02:00 level=INFO source=types.go:130 msg="inference compute" id=GPU-7b5f2078-943e-eab2-e6d3-5b7492dcdb7e library=cuda variant=v12 compute=8.9 driver=12.9 name="NVIDIA GeForce RTX 4060 Laptop GPU" total="7.6 GiB" available="7.2 GiB"
juin 24 17:53:35 strix ollama[15137]: [GIN] 2025/06/24 - 17:53:35 | 200 | 71.556µs | 127.0.0.1 | GET "/api/version"
juin 24 17:54:20 strix ollama[15137]: [GIN] 2025/06/24 - 17:54:20 | 200 | 696.258µs | 127.0.0.1 | GET "/api/tags"
juin 24 17:54:20 strix ollama[15137]: [GIN] 2025/06/24 - 17:54:20 | 200 | 318.985µs | 127.0.0.1 | GET "/api/tags"
juin 24 17:54:20 strix ollama[15137]: [GIN] 2025/06/24 - 17:54:20 | 200 | 28.456298ms | 127.0.0.1 | POST "/api/show"
juin 24 17:54:20 strix ollama[15137]: [GIN] 2025/06/24 - 17:54:20 | 200 | 30.083599ms | 127.0.0.1 | POST "/api/show"
juin 24 17:54:20 strix ollama[15137]: [GIN] 2025/06/24 - 17:54:20 | 200 | 30.319265ms | 127.0.0.1 | POST "/api/show"
juin 24 17:54:20 strix ollama[15137]: [GIN] 2025/06/24 - 17:54:20 | 200 | 33.496928ms | 127.0.0.1 | POST "/api/show"
juin 24 17:54:20 strix ollama[15137]: [GIN] 2025/06/24 - 17:54:20 | 200 | 25.578983ms | 127.0.0.1 | POST "/api/show"
juin 24 17:54:20 strix ollama[15137]: [GIN] 2025/06/24 - 17:54:20 | 200 | 30.963229ms | 127.0.0.1 | POST "/api/show"
juin 24 17:54:20 strix ollama[15137]: [GIN] 2025/06/24 - 17:54:20 | 200 | 33.550369ms | 127.0.0.1 | POST "/api/show"
juin 24 17:54:20 strix ollama[15137]: [GIN] 2025/06/24 - 17:54:20 | 200 | 35.769237ms | 127.0.0.1 | POST "/api/show"
juin 24 18:16:21 strix ollama[15137]: [GIN] 2025/06/24 - 18:16:21 | 200 | 26.347µs | 127.0.0.1 | HEAD "/"
juin 24 18:16:21 strix ollama[15137]: [GIN] 2025/06/24 - 18:16:21 | 200 | 120.637µs | 127.0.0.1 | GET "/api/ps"
juin 24 18:16:53 strix ollama[15137]: time=2025-06-24T18:16:53.346+02:00 level=INFO source=sched.go:788 msg="new model will fit in available VRAM in single GPU, loading" model=/var/lib/ollama/.ollama/models/blobs/sha256-60e05f2100071479f596b964f89f510f057ce397ea22f2833a0cfe029bfc2463 gpu=GPU-7b5f2078-943e-eab2-e6d3-5b7492dcdb7e parallel=2 available=7574585344 required="6.5 GiB"
juin 24 18:16:53 strix ollama[15137]: time=2025-06-24T18:16:53.447+02:00 level=INFO source=server.go:135 msg="system memory" total="31.0 GiB" free="26.3 GiB" free_swap="7.8 GiB"
juin 24 18:16:53 strix ollama[15137]: time=2025-06-24T18:16:53.447+02:00 level=INFO source=server.go:168 msg=offload library=cuda layers.requested=-1 layers.model=29 layers.offload=29 layers.split="" memory.available="[7.1 GiB]" memory.gpu_overhead="0 B" memory.required.full="6.5 GiB" memory.required.partial="6.5 GiB" memory.required.kv="896.0 MiB" memory.required.allocations="[6.5 GiB]" memory.weights.total="4.1 GiB" memory.weights.repeating="3.7 GiB" memory.weights.nonrepeating="426.4 MiB" memory.graph.full="942.0 MiB" memory.graph.partial="1.1 GiB"
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: loaded meta data with 34 key-value pairs and 339 tensors from /var/lib/ollama/.ollama/models/blobs/sha256-60e05f2100071479f596b964f89f510f057ce397ea22f2833a0cfe029bfc2463 (version GGUF V3 (latest))
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 0: general.architecture str = qwen2
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 1: general.type str = model
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 2: general.name str = Qwen2.5 Coder 7B Instruct
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 3: general.finetune str = Instruct
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 4: general.basename str = Qwen2.5-Coder
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 5: general.size_label str = 7B
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 6: general.license str = apache-2.0
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 7: general.license.link str = https://huggingface.co/Qwen/Qwen2.5-C...
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 8: general.base_model.count u32 = 1
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 9: general.base_model.0.name str = Qwen2.5 Coder 7B
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 10: general.base_model.0.organization str = Qwen
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 11: general.base_model.0.repo_url str = https://huggingface.co/Qwen/Qwen2.5-C...
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 12: general.tags arr[str,6] = ["code", "codeqwen", "chat", "qwen", ...
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 13: general.languages arr[str,1] = ["en"]
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 14: qwen2.block_count u32 = 28
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 15: qwen2.context_length u32 = 32768
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 16: qwen2.embedding_length u32 = 3584
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 17: qwen2.feed_forward_length u32 = 18944
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 18: qwen2.attention.head_count u32 = 28
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 19: qwen2.attention.head_count_kv u32 = 4
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 20: qwen2.rope.freq_base f32 = 1000000.000000
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 21: qwen2.attention.layer_norm_rms_epsilon f32 = 0.000001
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 22: general.file_type u32 = 15
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 23: tokenizer.ggml.model str = gpt2
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 24: tokenizer.ggml.pre str = qwen2
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 25: tokenizer.ggml.tokens arr[str,152064] = ["!", "\"", "#", "$", "%", "&", "'", ...
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 26: tokenizer.ggml.token_type arr[i32,152064] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 27: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 28: tokenizer.ggml.eos_token_id u32 = 151645
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 29: tokenizer.ggml.padding_token_id u32 = 151643
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 30: tokenizer.ggml.bos_token_id u32 = 151643
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 31: tokenizer.ggml.add_bos_token bool = false
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 32: tokenizer.chat_template str = {%- if tools %}\n {{- '<|im_start|>...
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - kv 33: general.quantization_version u32 = 2
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - type f32: 141 tensors
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - type q4_K: 169 tensors
juin 24 18:16:53 strix ollama[15137]: llama_model_loader: - type q6_K: 29 tensors
juin 24 18:16:53 strix ollama[15137]: print_info: file format = GGUF V3 (latest)
juin 24 18:16:53 strix ollama[15137]: print_info: file type = Q4_K - Medium
juin 24 18:16:53 strix ollama[15137]: print_info: file size = 4.36 GiB (4.91 BPW)
juin 24 18:16:53 strix ollama[15137]: load: special tokens cache size = 22
juin 24 18:16:53 strix ollama[15137]: load: token to piece cache size = 0.9310 MB
juin 24 18:16:53 strix ollama[15137]: print_info: arch = qwen2
juin 24 18:16:53 strix ollama[15137]: print_info: vocab_only = 1
juin 24 18:16:53 strix ollama[15137]: print_info: model type = ?B
juin 24 18:16:53 strix ollama[15137]: print_info: model params = 7.62 B
juin 24 18:16:53 strix ollama[15137]: print_info: general.name = Qwen2.5 Coder 7B Instruct
juin 24 18:16:53 strix ollama[15137]: print_info: vocab type = BPE
juin 24 18:16:53 strix ollama[15137]: print_info: n_vocab = 152064
juin 24 18:16:53 strix ollama[15137]: print_info: n_merges = 151387
juin 24 18:16:53 strix ollama[15137]: print_info: BOS token = 151643 '<|endoftext|>'
juin 24 18:16:53 strix ollama[15137]: print_info: EOS token = 151645 '<|im_end|>'
juin 24 18:16:53 strix ollama[15137]: print_info: EOT token = 151645 '<|im_end|>'
juin 24 18:16:53 strix ollama[15137]: print_info: PAD token = 151643 '<|endoftext|>'
juin 24 18:16:53 strix ollama[15137]: print_info: LF token = 198 'Ċ'
juin 24 18:16:53 strix ollama[15137]: print_info: FIM PRE token = 151659 '<|fim_prefix|>'
juin 24 18:16:53 strix ollama[15137]: print_info: FIM SUF token = 151661 '<|fim_suffix|>'
juin 24 18:16:53 strix ollama[15137]: print_info: FIM MID token = 151660 '<|fim_middle|>'
juin 24 18:16:53 strix ollama[15137]: print_info: FIM PAD token = 151662 '<|fim_pad|>'
juin 24 18:16:53 strix ollama[15137]: print_info: FIM REP token = 151663 '<|repo_name|>'
juin 24 18:16:53 strix ollama[15137]: print_info: FIM SEP token = 151664 '<|file_sep|>'
juin 24 18:16:53 strix ollama[15137]: print_info: EOG token = 151643 '<|endoftext|>'
juin 24 18:16:53 strix ollama[15137]: print_info: EOG token = 151645 '<|im_end|>'
juin 24 18:16:53 strix ollama[15137]: print_info: EOG token = 151662 '<|fim_pad|>'
juin 24 18:16:53 strix ollama[15137]: print_info: EOG token = 151663 '<|repo_name|>'
juin 24 18:16:53 strix ollama[15137]: print_info: EOG token = 151664 '<|file_sep|>'
juin 24 18:16:53 strix ollama[15137]: print_info: max token length = 256
juin 24 18:16:53 strix ollama[15137]: llama_model_load: vocab only - skipping tensors
juin 24 18:16:53 strix ollama[15137]: time=2025-06-24T18:16:53.746+02:00 level=INFO source=server.go:431 msg="starting llama server" cmd="/usr/bin/ollama runner --model /var/lib/ollama/.ollama/models/blobs/sha256-60e05f2100071479f596b964f89f510f057ce397ea22f2833a0cfe029bfc2463 --ctx-size 16384 --batch-size 512 --n-gpu-layers 29 --threads 6 --parallel 2 --port 40537"
juin 24 18:16:53 strix ollama[15137]: time=2025-06-24T18:16:53.747+02:00 level=INFO source=sched.go:483 msg="loaded runners" count=1
juin 24 18:16:53 strix ollama[15137]: time=2025-06-24T18:16:53.747+02:00 level=INFO source=server.go:591 msg="waiting for llama runner to start responding"
juin 24 18:16:53 strix ollama[15137]: time=2025-06-24T18:16:53.747+02:00 level=INFO source=server.go:625 msg="waiting for server to become available" status="llm server not responding"
juin 24 18:16:53 strix ollama[15137]: time=2025-06-24T18:16:53.754+02:00 level=INFO source=runner.go:815 msg="starting go runner"
juin 24 18:16:53 strix ollama[15137]: load_backend: loaded CPU backend from /usr/lib64/ollama/libggml-cpu-x64.so
juin 24 18:16:54 strix ollama[15137]: ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
juin 24 18:16:54 strix ollama[15137]: ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
juin 24 18:16:54 strix ollama[15137]: ggml_cuda_init: found 1 CUDA devices:
juin 24 18:16:54 strix ollama[15137]: Device 0: NVIDIA GeForce RTX 4060 Laptop GPU, compute capability 8.9, VMM: yes
juin 24 18:16:54 strix ollama[15137]: load_backend: loaded CUDA backend from /usr/lib64/ollama/cuda_v12/libggml-cuda.so
juin 24 18:16:54 strix ollama[15137]: time=2025-06-24T18:16:54.859+02:00 level=INFO source=ggml.go:104 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.SSE3=1 CPU.1.SSSE3=1 CPU.1.AVX=1 CPU.1.AVX_VNNI=1 CPU.1.AVX2=1 CPU.1.F16C=1 CPU.1.FMA=1 CPU.1.BMI2=1 CPU.1.LLAMAFILE=1 CUDA.0.ARCHS=520 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(gcc)
juin 24 18:16:54 strix ollama[15137]: time=2025-06-24T18:16:54.859+02:00 level=INFO source=runner.go:874 msg="Server listening on 127.0.0.1:40537"
juin 24 18:16:54 strix ollama[15137]: llama_model_load_from_file_impl: using device CUDA0 (NVIDIA GeForce RTX 4060 Laptop GPU) - 7224 MiB free
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: loaded meta data with 34 key-value pairs and 339 tensors from /var/lib/ollama/.ollama/models/blobs/sha256-60e05f2100071479f596b964f89f510f057ce397ea22f2833a0cfe029bfc2463 (version GGUF V3 (latest))
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 0: general.architecture str = qwen2
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 1: general.type str = model
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 2: general.name str = Qwen2.5 Coder 7B Instruct
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 3: general.finetune str = Instruct
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 4: general.basename str = Qwen2.5-Coder
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 5: general.size_label str = 7B
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 6: general.license str = apache-2.0
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 7: general.license.link str = https://huggingface.co/Qwen/Qwen2.5-C...
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 8: general.base_model.count u32 = 1
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 9: general.base_model.0.name str = Qwen2.5 Coder 7B
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 10: general.base_model.0.organization str = Qwen
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 11: general.base_model.0.repo_url str = https://huggingface.co/Qwen/Qwen2.5-C...
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 12: general.tags arr[str,6] = ["code", "codeqwen", "chat", "qwen", ...
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 13: general.languages arr[str,1] = ["en"]
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 14: qwen2.block_count u32 = 28
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 15: qwen2.context_length u32 = 32768
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 16: qwen2.embedding_length u32 = 3584
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 17: qwen2.feed_forward_length u32 = 18944
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 18: qwen2.attention.head_count u32 = 28
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 19: qwen2.attention.head_count_kv u32 = 4
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 20: qwen2.rope.freq_base f32 = 1000000.000000
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 21: qwen2.attention.layer_norm_rms_epsilon f32 = 0.000001
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 22: general.file_type u32 = 15
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 23: tokenizer.ggml.model str = gpt2
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 24: tokenizer.ggml.pre str = qwen2
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 25: tokenizer.ggml.tokens arr[str,152064] = ["!", "\"", "#", "$", "%", "&", "'", ...
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 26: tokenizer.ggml.token_type arr[i32,152064] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 27: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 28: tokenizer.ggml.eos_token_id u32 = 151645
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 29: tokenizer.ggml.padding_token_id u32 = 151643
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 30: tokenizer.ggml.bos_token_id u32 = 151643
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 31: tokenizer.ggml.add_bos_token bool = false
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 32: tokenizer.chat_template str = {%- if tools %}\n {{- '<|im_start|>...
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - kv 33: general.quantization_version u32 = 2
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - type f32: 141 tensors
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - type q4_K: 169 tensors
juin 24 18:16:54 strix ollama[15137]: llama_model_loader: - type q6_K: 29 tensors
juin 24 18:16:54 strix ollama[15137]: print_info: file format = GGUF V3 (latest)
juin 24 18:16:54 strix ollama[15137]: print_info: file type = Q4_K - Medium
juin 24 18:16:54 strix ollama[15137]: print_info: file size = 4.36 GiB (4.91 BPW)
juin 24 18:16:55 strix ollama[15137]: time=2025-06-24T18:16:55.002+02:00 level=INFO source=server.go:625 msg="waiting for server to become available" status="llm server loading model"
juin 24 18:16:55 strix ollama[15137]: load: special tokens cache size = 22
juin 24 18:16:55 strix ollama[15137]: load: token to piece cache size = 0.9310 MB
juin 24 18:16:55 strix ollama[15137]: print_info: arch = qwen2
juin 24 18:16:55 strix ollama[15137]: print_info: vocab_only = 0
juin 24 18:16:55 strix ollama[15137]: print_info: n_ctx_train = 32768
juin 24 18:16:55 strix ollama[15137]: print_info: n_embd = 3584
juin 24 18:16:55 strix ollama[15137]: print_info: n_layer = 28
juin 24 18:16:55 strix ollama[15137]: print_info: n_head = 28
juin 24 18:16:55 strix ollama[15137]: print_info: n_head_kv = 4
juin 24 18:16:55 strix ollama[15137]: print_info: n_rot = 128
juin 24 18:16:55 strix ollama[15137]: print_info: n_swa = 0
juin 24 18:16:55 strix ollama[15137]: print_info: n_swa_pattern = 1
juin 24 18:16:55 strix ollama[15137]: print_info: n_embd_head_k = 128
juin 24 18:16:55 strix ollama[15137]: print_info: n_embd_head_v = 128
juin 24 18:16:55 strix ollama[15137]: print_info: n_gqa = 7
juin 24 18:16:55 strix ollama[15137]: print_info: n_embd_k_gqa = 512
juin 24 18:16:55 strix ollama[15137]: print_info: n_embd_v_gqa = 512
juin 24 18:16:55 strix ollama[15137]: print_info: f_norm_eps = 0.0e+00
juin 24 18:16:55 strix ollama[15137]: print_info: f_norm_rms_eps = 1.0e-06
juin 24 18:16:55 strix ollama[15137]: print_info: f_clamp_kqv = 0.0e+00
juin 24 18:16:55 strix ollama[15137]: print_info: f_max_alibi_bias = 0.0e+00
juin 24 18:16:55 strix ollama[15137]: print_info: f_logit_scale = 0.0e+00
juin 24 18:16:55 strix ollama[15137]: print_info: f_attn_scale = 0.0e+00
juin 24 18:16:55 strix ollama[15137]: print_info: n_ff = 18944
juin 24 18:16:55 strix ollama[15137]: print_info: n_expert = 0
juin 24 18:16:55 strix ollama[15137]: print_info: n_expert_used = 0
juin 24 18:16:55 strix ollama[15137]: print_info: causal attn = 1
juin 24 18:16:55 strix ollama[15137]: print_info: pooling type = -1
juin 24 18:16:55 strix ollama[15137]: print_info: rope type = 2
juin 24 18:16:55 strix ollama[15137]: print_info: rope scaling = linear
juin 24 18:16:55 strix ollama[15137]: print_info: freq_base_train = 1000000.0
juin 24 18:16:55 strix ollama[15137]: print_info: freq_scale_train = 1
juin 24 18:16:55 strix ollama[15137]: print_info: n_ctx_orig_yarn = 32768
juin 24 18:16:55 strix ollama[15137]: print_info: rope_finetuned = unknown
juin 24 18:16:55 strix ollama[15137]: print_info: ssm_d_conv = 0
juin 24 18:16:55 strix ollama[15137]: print_info: ssm_d_inner = 0
juin 24 18:16:55 strix ollama[15137]: print_info: ssm_d_state = 0
juin 24 18:16:55 strix ollama[15137]: print_info: ssm_dt_rank = 0
juin 24 18:16:55 strix ollama[15137]: print_info: ssm_dt_b_c_rms = 0
juin 24 18:16:55 strix ollama[15137]: print_info: model type = 7B
juin 24 18:16:55 strix ollama[15137]: print_info: model params = 7.62 B
juin 24 18:16:55 strix ollama[15137]: print_info: general.name = Qwen2.5 Coder 7B Instruct
juin 24 18:16:55 strix ollama[15137]: print_info: vocab type = BPE
juin 24 18:16:55 strix ollama[15137]: print_info: n_vocab = 152064
juin 24 18:16:55 strix ollama[15137]: print_info: n_merges = 151387
juin 24 18:16:55 strix ollama[15137]: print_info: BOS token = 151643 '<|endoftext|>'
juin 24 18:16:55 strix ollama[15137]: print_info: EOS token = 151645 '<|im_end|>'
juin 24 18:16:55 strix ollama[15137]: print_info: EOT token = 151645 '<|im_end|>'
juin 24 18:16:55 strix ollama[15137]: print_info: PAD token = 151643 '<|endoftext|>'
juin 24 18:16:55 strix ollama[15137]: print_info: LF token = 198 'Ċ'
juin 24 18:16:55 strix ollama[15137]: print_info: FIM PRE token = 151659 '<|fim_prefix|>'
juin 24 18:16:55 strix ollama[15137]: print_info: FIM SUF token = 151661 '<|fim_suffix|>'
juin 24 18:16:55 strix ollama[15137]: print_info: FIM MID token = 151660 '<|fim_middle|>'
juin 24 18:16:55 strix ollama[15137]: print_info: FIM PAD token = 151662 '<|fim_pad|>'
juin 24 18:16:55 strix ollama[15137]: print_info: FIM REP token = 151663 '<|repo_name|>'
juin 24 18:16:55 strix ollama[15137]: print_info: FIM SEP token = 151664 '<|file_sep|>'
juin 24 18:16:55 strix ollama[15137]: print_info: EOG token = 151643 '<|endoftext|>'
juin 24 18:16:55 strix ollama[15137]: print_info: EOG token = 151645 '<|im_end|>'
juin 24 18:16:55 strix ollama[15137]: print_info: EOG token = 151662 '<|fim_pad|>'
juin 24 18:16:55 strix ollama[15137]: print_info: EOG token = 151663 '<|repo_name|>'
juin 24 18:16:55 strix ollama[15137]: print_info: EOG token = 151664 '<|file_sep|>'
juin 24 18:16:55 strix ollama[15137]: print_info: max token length = 256
juin 24 18:16:55 strix ollama[15137]: load_tensors: loading model tensors, this can take a while... (mmap = true)
juin 24 18:16:56 strix ollama[15137]: load_tensors: offloading 28 repeating layers to GPU
juin 24 18:16:56 strix ollama[15137]: load_tensors: offloading output layer to GPU
juin 24 18:16:56 strix ollama[15137]: load_tensors: offloaded 29/29 layers to GPU
juin 24 18:16:56 strix ollama[15137]: load_tensors: CUDA0 model buffer size = 4168.09 MiB
juin 24 18:16:56 strix ollama[15137]: load_tensors: CPU_Mapped model buffer size = 292.36 MiB
juin 24 18:16:57 strix ollama[15137]: llama_context: constructing llama_context
juin 24 18:16:57 strix ollama[15137]: llama_context: n_seq_max = 2
juin 24 18:16:57 strix ollama[15137]: llama_context: n_ctx = 16384
juin 24 18:16:57 strix ollama[15137]: llama_context: n_ctx_per_seq = 8192
juin 24 18:16:57 strix ollama[15137]: llama_context: n_batch = 1024
juin 24 18:16:57 strix ollama[15137]: llama_context: n_ubatch = 512
juin 24 18:16:57 strix ollama[15137]: llama_context: causal_attn = 1
juin 24 18:16:57 strix ollama[15137]: llama_context: flash_attn = 0
juin 24 18:16:57 strix ollama[15137]: llama_context: freq_base = 1000000.0
juin 24 18:16:57 strix ollama[15137]: llama_context: freq_scale = 1
juin 24 18:16:57 strix ollama[15137]: llama_context: n_ctx_per_seq (8192) < n_ctx_train (32768) -- the full capacity of the model will not be utilized
juin 24 18:16:57 strix ollama[15137]: llama_context: CUDA_Host output buffer size = 1.19 MiB
juin 24 18:16:57 strix ollama[15137]: llama_kv_cache_unified: kv_size = 16384, type_k = 'f16', type_v = 'f16', n_layer = 28, can_shift = 1, padding = 32
juin 24 18:16:57 strix ollama[15137]: llama_kv_cache_unified: CUDA0 KV buffer size = 896.00 MiB
juin 24 18:16:57 strix ollama[15137]: llama_kv_cache_unified: KV self size = 896.00 MiB, K (f16): 448.00 MiB, V (f16): 448.00 MiB
juin 24 18:16:57 strix ollama[15137]: llama_context: CUDA0 compute buffer size = 956.00 MiB
juin 24 18:16:57 strix ollama[15137]: llama_context: CUDA_Host compute buffer size = 39.01 MiB
juin 24 18:16:57 strix ollama[15137]: llama_context: graph nodes = 1042
juin 24 18:16:57 strix ollama[15137]: llama_context: graph splits = 2
juin 24 18:16:57 strix ollama[15137]: time=2025-06-24T18:16:57.513+02:00 level=INFO source=server.go:630 msg="llama runner started in 3.77 seconds"
juin 24 18:17:02 strix ollama[15137]: [GIN] 2025/06/24 - 18:17:02 | 200 | 9.672241643s | 127.0.0.1 | POST "/api/chat"
juin 24 18:17:04 strix ollama[15137]: [GIN] 2025/06/24 - 18:17:04 | 200 | 14.325µs | 127.0.0.1 | HEAD "/"
juin 24 18:17:04 strix ollama[15137]: [GIN] 2025/06/24 - 18:17:04 | 200 | 20.378µs | 127.0.0.1 | GET "/api/ps"
juin 24 18:24:55 strix ollama[15137]: [GIN] 2025/06/24 - 18:24:55 | 200 | 19.276µs | 127.0.0.1 | HEAD "/"
juin 24 18:24:55 strix ollama[15137]: [GIN] 2025/06/24 - 18:24:55 | 200 | 29.781µs | 127.0.0.1 | GET "/api/ps"
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