修改为东南天坐标系
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@@ -2,16 +2,16 @@ ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
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ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
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ggml_cuda_init: found 1 CUDA devices:
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Device 0: NVIDIA GeForce RTX 4060 Ti, compute capability 8.9, VMM: yes
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build: 6912 (961660b8c) with cc (Ubuntu 11.4.0-1ubuntu1~22.04.2) 11.4.0 for x86_64-linux-gnu
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system info: n_threads = 6, n_threads_batch = 6, total_threads = 16
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build: 6097 (9515c613) with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
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system info: n_threads = 8, n_threads_batch = 8, total_threads = 16
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system_info: n_threads = 6 (n_threads_batch = 6) / 16 | CUDA : ARCHS = 890 | USE_GRAPHS = 1 | PEER_MAX_BATCH_SIZE = 128 | CPU : SSE3 = 1 | SSSE3 = 1 | AVX = 1 | AVX_VNNI = 1 | AVX2 = 1 | F16C = 1 | FMA = 1 | BMI2 = 1 | LLAMAFILE = 1 | OPENMP = 1 | REPACK = 1 |
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system_info: n_threads = 8 (n_threads_batch = 8) / 16 | CUDA : ARCHS = 500,610,700,750,800,860,890 | USE_GRAPHS = 1 | PEER_MAX_BATCH_SIZE = 128 | CPU : SSE3 = 1 | SSSE3 = 1 | AVX = 1 | AVX_VNNI = 1 | AVX2 = 1 | F16C = 1 | FMA = 1 | BMI2 = 1 | LLAMAFILE = 1 | OPENMP = 1 | REPACK = 1 |
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main: binding port with default address family
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main: HTTP server is listening, hostname: 0.0.0.0, port: 8081, http threads: 15
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main: loading model
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srv load_model: loading model '/home/huangfukk/models/gguf/Qwen3/Qwen3-4B/Qwen3-4B-Q5_K_M.gguf'
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llama_model_load_from_file_impl: using device CUDA0 (NVIDIA GeForce RTX 4060 Ti) (0000:01:00.0) - 13681 MiB free
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llama_model_load_from_file_impl: using device CUDA0 (NVIDIA GeForce RTX 4060 Ti) - 2789 MiB free
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llama_model_loader: loaded meta data with 28 key-value pairs and 398 tensors from /home/huangfukk/models/gguf/Qwen3/Qwen3-4B/Qwen3-4B-Q5_K_M.gguf (version GGUF V3 (latest))
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llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
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llama_model_loader: - kv 0: general.architecture str = qwen3
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@@ -80,8 +80,6 @@ print_info: f_attn_scale = 0.0e+00
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print_info: n_ff = 9728
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print_info: n_expert = 0
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print_info: n_expert_used = 0
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print_info: n_expert_groups = 0
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print_info: n_group_used = 0
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print_info: causal attn = 1
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print_info: pooling type = -1
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print_info: rope type = 2
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@@ -116,8 +114,8 @@ print_info: max token length = 256
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load_tensors: loading model tensors, this can take a while... (mmap = true)
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load_tensors: offloading 36 repeating layers to GPU
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load_tensors: offloaded 36/37 layers to GPU
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load_tensors: CPU_Mapped model buffer size = 304.29 MiB
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load_tensors: CUDA0 model buffer size = 2445.68 MiB
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load_tensors: CPU_Mapped model buffer size = 304.29 MiB
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..........................................................................................
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llama_context: constructing llama_context
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llama_context: n_seq_max = 1
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@@ -126,18 +124,17 @@ llama_context: n_ctx_per_seq = 8192
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llama_context: n_batch = 2048
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llama_context: n_ubatch = 512
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llama_context: causal_attn = 1
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llama_context: flash_attn = auto
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llama_context: flash_attn = 0
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llama_context: kv_unified = false
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llama_context: freq_base = 1000000.0
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llama_context: freq_scale = 1
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llama_context: n_ctx_per_seq (8192) < n_ctx_train (40960) -- the full capacity of the model will not be utilized
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llama_context: CPU output buffer size = 0.58 MiB
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llama_kv_cache: CUDA0 KV buffer size = 1152.00 MiB
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llama_kv_cache: size = 1152.00 MiB ( 8192 cells, 36 layers, 1/1 seqs), K (f16): 576.00 MiB, V (f16): 576.00 MiB
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llama_context: Flash Attention was auto, set to enabled
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llama_kv_cache_unified: CUDA0 KV buffer size = 1152.00 MiB
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llama_kv_cache_unified: size = 1152.00 MiB ( 8192 cells, 36 layers, 1/1 seqs), K (f16): 576.00 MiB, V (f16): 576.00 MiB
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llama_context: CUDA0 compute buffer size = 606.03 MiB
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llama_context: CUDA_Host compute buffer size = 21.01 MiB
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llama_context: graph nodes = 1267
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llama_context: CUDA_Host compute buffer size = 25.01 MiB
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llama_context: graph nodes = 1410
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llama_context: graph splits = 4 (with bs=512), 3 (with bs=1)
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common_init_from_params: added <|endoftext|> logit bias = -inf
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common_init_from_params: added <|im_end|> logit bias = -inf
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@@ -148,10 +145,6 @@ common_init_from_params: setting dry_penalty_last_n to ctx_size = 8192
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common_init_from_params: warming up the model with an empty run - please wait ... (--no-warmup to disable)
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srv init: initializing slots, n_slots = 1
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slot init: id 0 | task -1 | new slot n_ctx_slot = 8192
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srv init: prompt cache is enabled, size limit: 8192 MiB
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srv init: use `--cache-ram 0` to disable the prompt cache
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srv init: for more info see https://github.com/ggml-org/llama.cpp/pull/16391
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srv init: thinking = 0
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main: model loaded
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main: chat template, chat_template: {%- if tools %}
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{{- '<|im_start|>system\n' }}
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@@ -249,91 +242,8 @@ How are you?<|im_end|>
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'
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main: server is listening on http://0.0.0.0:8081 - starting the main loop
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srv update_slots: all slots are idle
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srv log_server_r: request: GET /health 127.0.0.1 200
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srv params_from_: Chat format: Content-only
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slot get_availabl: id 0 | task -1 | selected slot by LRU, t_last = -1
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slot launch_slot_: id 0 | task 0 | processing task
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slot update_slots: id 0 | task 0 | new prompt, n_ctx_slot = 8192, n_keep = 0, task.n_tokens = 375
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slot update_slots: id 0 | task 0 | n_tokens = 0, memory_seq_rm [0, end)
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slot update_slots: id 0 | task 0 | prompt processing progress, n_tokens = 375, batch.n_tokens = 375, progress = 1.000000
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slot update_slots: id 0 | task 0 | prompt done, n_tokens = 375, batch.n_tokens = 375
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slot print_timing: id 0 | task 0 |
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prompt eval time = 111.12 ms / 375 tokens ( 0.30 ms per token, 3374.64 tokens per second)
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eval time = 207.35 ms / 10 tokens ( 20.73 ms per token, 48.23 tokens per second)
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total time = 318.47 ms / 385 tokens
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slot release: id 0 | task 0 | stop processing: n_tokens = 384, truncated = 0
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srv update_slots: all slots are idle
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srv log_server_r: request: POST /v1/chat/completions 127.0.0.1 200
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srv params_from_: Chat format: Content-only
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slot get_availabl: id 0 | task -1 | selected slot by LRU, t_last = 237472165130
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srv get_availabl: updating prompt cache
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srv prompt_save: - saving prompt with length 384, total state size = 54.005 MiB
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srv load: - looking for better prompt, base f_keep = 0.008, sim = 0.001
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srv update: - cache state: 1 prompts, 54.005 MiB (limits: 8192.000 MiB, 8192 tokens, 58248 est)
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srv update: - prompt 0x63c2bba5e140: 384 tokens, checkpoints: 0, 54.005 MiB
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srv get_availabl: prompt cache update took 22.38 ms
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slot launch_slot_: id 0 | task 11 | processing task
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slot update_slots: id 0 | task 11 | new prompt, n_ctx_slot = 8192, n_keep = 0, task.n_tokens = 2554
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slot update_slots: id 0 | task 11 | n_tokens = 3, memory_seq_rm [3, end)
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slot update_slots: id 0 | task 11 | prompt processing progress, n_tokens = 2051, batch.n_tokens = 2048, progress = 0.803054
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slot update_slots: id 0 | task 11 | n_tokens = 2051, memory_seq_rm [2051, end)
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slot update_slots: id 0 | task 11 | prompt processing progress, n_tokens = 2554, batch.n_tokens = 503, progress = 1.000000
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slot update_slots: id 0 | task 11 | prompt done, n_tokens = 2554, batch.n_tokens = 503
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slot print_timing: id 0 | task 11 |
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prompt eval time = 608.76 ms / 2551 tokens ( 0.24 ms per token, 4190.45 tokens per second)
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eval time = 9337.00 ms / 409 tokens ( 22.83 ms per token, 43.80 tokens per second)
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total time = 9945.76 ms / 2960 tokens
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slot release: id 0 | task 11 | stop processing: n_tokens = 2962, truncated = 0
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srv update_slots: all slots are idle
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srv log_server_r: request: POST /v1/chat/completions 127.0.0.1 200
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srv params_from_: Chat format: Content-only
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slot get_availabl: id 0 | task -1 | selected slot by LRU, t_last = 237482215959
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srv get_availabl: updating prompt cache
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srv prompt_save: - saving prompt with length 2962, total state size = 416.566 MiB
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srv load: - looking for better prompt, base f_keep = 0.001, sim = 0.008
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srv load: - found better prompt with f_keep = 0.977, sim = 1.000
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srv update: - cache state: 1 prompts, 416.566 MiB (limits: 8192.000 MiB, 8192 tokens, 58249 est)
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srv update: - prompt 0x63c2bba9e270: 2962 tokens, checkpoints: 0, 416.566 MiB
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srv get_availabl: prompt cache update took 162.15 ms
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slot launch_slot_: id 0 | task 422 | processing task
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slot update_slots: id 0 | task 422 | new prompt, n_ctx_slot = 8192, n_keep = 0, task.n_tokens = 375
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slot update_slots: id 0 | task 422 | need to evaluate at least 1 token for each active slot (n_past = 375, task.n_tokens() = 375)
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slot update_slots: id 0 | task 422 | n_past was set to 374
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slot update_slots: id 0 | task 422 | n_tokens = 374, memory_seq_rm [374, end)
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slot update_slots: id 0 | task 422 | prompt processing progress, n_tokens = 375, batch.n_tokens = 1, progress = 1.000000
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slot update_slots: id 0 | task 422 | prompt done, n_tokens = 375, batch.n_tokens = 1
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slot print_timing: id 0 | task 422 |
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prompt eval time = 30.72 ms / 1 tokens ( 30.72 ms per token, 32.55 tokens per second)
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eval time = 196.03 ms / 10 tokens ( 19.60 ms per token, 51.01 tokens per second)
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total time = 226.75 ms / 11 tokens
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slot release: id 0 | task 422 | stop processing: n_tokens = 384, truncated = 0
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srv update_slots: all slots are idle
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srv log_server_r: request: POST /v1/chat/completions 127.0.0.1 200
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srv params_from_: Chat format: Content-only
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slot get_availabl: id 0 | task -1 | selected slot by LRU, t_last = 237485582368
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srv get_availabl: updating prompt cache
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srv prompt_save: - saving prompt with length 384, total state size = 54.005 MiB
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srv load: - looking for better prompt, base f_keep = 0.008, sim = 0.001
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srv load: - found better prompt with f_keep = 0.862, sim = 1.000
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srv update: - cache state: 1 prompts, 54.005 MiB (limits: 8192.000 MiB, 8192 tokens, 58248 est)
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srv update: - prompt 0x63c2bf15ea60: 384 tokens, checkpoints: 0, 54.005 MiB
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srv get_availabl: prompt cache update took 76.62 ms
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slot launch_slot_: id 0 | task 433 | processing task
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slot update_slots: id 0 | task 433 | new prompt, n_ctx_slot = 8192, n_keep = 0, task.n_tokens = 2554
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slot update_slots: id 0 | task 433 | need to evaluate at least 1 token for each active slot (n_past = 2554, task.n_tokens() = 2554)
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slot update_slots: id 0 | task 433 | n_past was set to 2553
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slot update_slots: id 0 | task 433 | n_tokens = 2553, memory_seq_rm [2553, end)
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slot update_slots: id 0 | task 433 | prompt processing progress, n_tokens = 2554, batch.n_tokens = 1, progress = 1.000000
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slot update_slots: id 0 | task 433 | prompt done, n_tokens = 2554, batch.n_tokens = 1
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slot print_timing: id 0 | task 433 |
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prompt eval time = 37.62 ms / 1 tokens ( 37.62 ms per token, 26.58 tokens per second)
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eval time = 9680.67 ms / 409 tokens ( 23.67 ms per token, 42.25 tokens per second)
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total time = 9718.29 ms / 410 tokens
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slot release: id 0 | task 433 | stop processing: n_tokens = 2962, truncated = 0
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srv update_slots: all slots are idle
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srv log_server_r: request: POST /v1/chat/completions 127.0.0.1 200
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srv operator(): operator(): cleaning up before exit...
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llama_memory_breakdown_print: | memory breakdown [MiB] | total free self model context compute unaccounted |
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llama_memory_breakdown_print: | - CUDA0 (RTX 4060 Ti) | 15944 = 5959 + (4203 = 2445 + 1152 + 606) + 5781 |
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llama_memory_breakdown_print: | - Host | 325 = 304 + 0 + 21 |
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Received second interrupt, terminating immediately.
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ed second interrupt, terminating immediately.
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srv operator(): operator(): cleaning up before exit...
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srv log_server_r: request: GET /health 127.0.0.1 200
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srv operator(): operator(): cleaning up before exit...
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