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: NVIDIA GeForce RTX 4060 Ti, compute capability 8.9, VMM: yes
build: 6097 (9515c613) with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
system info: n_threads = 8, n_threads_batch = 8, total_threads = 16
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 |
main: binding port with default address family
main: HTTP server is listening, hostname: 0.0.0.0, port: 8081, http threads: 15
main: loading model
srv load_model: loading model '/home/huangfukk/models/gguf/Qwen3/Qwen3-4B/Qwen3-4B-Q5_K_M.gguf'
llama_model_load_from_file_impl: using device CUDA0 (NVIDIA GeForce RTX 4060 Ti) - 15225 MiB free
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))
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv 0: general.architecture str = qwen3
llama_model_loader: - kv 1: general.type str = model
llama_model_loader: - kv 2: general.name str = Qwen3 4B Instruct
llama_model_loader: - kv 3: general.finetune str = Instruct
llama_model_loader: - kv 4: general.basename str = Qwen3
llama_model_loader: - kv 5: general.size_label str = 4B
llama_model_loader: - kv 6: qwen3.block_count u32 = 36
llama_model_loader: - kv 7: qwen3.context_length u32 = 40960
llama_model_loader: - kv 8: qwen3.embedding_length u32 = 2560
llama_model_loader: - kv 9: qwen3.feed_forward_length u32 = 9728
llama_model_loader: - kv 10: qwen3.attention.head_count u32 = 32
llama_model_loader: - kv 11: qwen3.attention.head_count_kv u32 = 8
llama_model_loader: - kv 12: qwen3.rope.freq_base f32 = 1000000.000000
llama_model_loader: - kv 13: qwen3.attention.layer_norm_rms_epsilon f32 = 0.000001
llama_model_loader: - kv 14: qwen3.attention.key_length u32 = 128
llama_model_loader: - kv 15: qwen3.attention.value_length u32 = 128
llama_model_loader: - kv 16: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 17: tokenizer.ggml.pre str = qwen2
llama_model_loader: - kv 18: tokenizer.ggml.tokens arr[str,151936] = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 19: tokenizer.ggml.token_type arr[i32,151936] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 20: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv 21: tokenizer.ggml.eos_token_id u32 = 151645
llama_model_loader: - kv 22: tokenizer.ggml.padding_token_id u32 = 151643
llama_model_loader: - kv 23: tokenizer.ggml.bos_token_id u32 = 151643
llama_model_loader: - kv 24: tokenizer.ggml.add_bos_token bool = false
llama_model_loader: - kv 25: tokenizer.chat_template str = {%- if tools %}\n {{- '<|im_start|>...
llama_model_loader: - kv 26: general.quantization_version u32 = 2
llama_model_loader: - kv 27: general.file_type u32 = 17
llama_model_loader: - type f32: 145 tensors
llama_model_loader: - type q5_K: 216 tensors
llama_model_loader: - type q6_K: 37 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = Q5_K - Medium
print_info: file size = 2.69 GiB (5.73 BPW)
load: printing all EOG tokens:
load: - 151643 ('<|endoftext|>')
load: - 151645 ('<|im_end|>')
load: - 151662 ('<|fim_pad|>')
load: - 151663 ('<|repo_name|>')
load: - 151664 ('<|file_sep|>')
load: special tokens cache size = 26
load: token to piece cache size = 0.9311 MB
print_info: arch = qwen3
print_info: vocab_only = 0
print_info: n_ctx_train = 40960
print_info: n_embd = 2560
print_info: n_layer = 36
print_info: n_head = 32
print_info: n_head_kv = 8
print_info: n_rot = 128
print_info: n_swa = 0
print_info: is_swa_any = 0
print_info: n_embd_head_k = 128
print_info: n_embd_head_v = 128
print_info: n_gqa = 4
print_info: n_embd_k_gqa = 1024
print_info: n_embd_v_gqa = 1024
print_info: f_norm_eps = 0.0e+00
print_info: f_norm_rms_eps = 1.0e-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 = 9728
print_info: n_expert = 0
print_info: n_expert_used = 0
print_info: causal attn = 1
print_info: pooling type = -1
print_info: rope type = 2
print_info: rope scaling = linear
print_info: freq_base_train = 1000000.0
print_info: freq_scale_train = 1
print_info: n_ctx_orig_yarn = 40960
print_info: rope_finetuned = unknown
print_info: model type = 4B
print_info: model params = 4.02 B
print_info: general.name = Qwen3 4B Instruct
print_info: vocab type = BPE
print_info: n_vocab = 151936
print_info: n_merges = 151387
print_info: BOS token = 151643 '<|endoftext|>'
print_info: EOS token = 151645 '<|im_end|>'
print_info: EOT token = 151645 '<|im_end|>'
print_info: PAD token = 151643 '<|endoftext|>'
print_info: LF token = 198 'Ċ'
print_info: FIM PRE token = 151659 '<|fim_prefix|>'
print_info: FIM SUF token = 151661 '<|fim_suffix|>'
print_info: FIM MID token = 151660 '<|fim_middle|>'
print_info: FIM PAD token = 151662 '<|fim_pad|>'
print_info: FIM REP token = 151663 '<|repo_name|>'
print_info: FIM SEP token = 151664 '<|file_sep|>'
print_info: EOG token = 151643 '<|endoftext|>'
print_info: EOG token = 151645 '<|im_end|>'
print_info: EOG token = 151662 '<|fim_pad|>'
print_info: EOG token = 151663 '<|repo_name|>'
print_info: EOG token = 151664 '<|file_sep|>'
print_info: max token length = 256
load_tensors: loading model tensors, this can take a while... (mmap = true)
srv log_server_r: request: GET /health 127.0.0.1 503
load_tensors: offloading 36 repeating layers to GPU
load_tensors: offloaded 36/37 layers to GPU
load_tensors: CUDA0 model buffer size = 2445.68 MiB
load_tensors: CPU_Mapped model buffer size = 304.29 MiB
..........................................................................................
llama_context: constructing llama_context
llama_context: n_seq_max = 1
llama_context: n_ctx = 16384
llama_context: n_ctx_per_seq = 16384
llama_context: n_batch = 2048
llama_context: n_ubatch = 512
llama_context: causal_attn = 1
llama_context: flash_attn = 0
llama_context: kv_unified = false
llama_context: freq_base = 1000000.0
llama_context: freq_scale = 1
llama_context: n_ctx_per_seq (16384) < n_ctx_train (40960) -- the full capacity of the model will not be utilized
llama_context: CPU output buffer size = 0.58 MiB
llama_kv_cache_unified: CUDA0 KV buffer size = 2304.00 MiB
llama_kv_cache_unified: size = 2304.00 MiB ( 16384 cells, 36 layers, 1/1 seqs), K (f16): 1152.00 MiB, V (f16): 1152.00 MiB
llama_context: CUDA0 compute buffer size = 1086.01 MiB
llama_context: CUDA_Host compute buffer size = 41.01 MiB
llama_context: graph nodes = 1410
llama_context: graph splits = 4 (with bs=512), 3 (with bs=1)
common_init_from_params: added <|endoftext|> logit bias = -inf
common_init_from_params: added <|im_end|> logit bias = -inf
common_init_from_params: added <|fim_pad|> logit bias = -inf
common_init_from_params: added <|repo_name|> logit bias = -inf
common_init_from_params: added <|file_sep|> logit bias = -inf
common_init_from_params: setting dry_penalty_last_n to ctx_size = 16384
common_init_from_params: warming up the model with an empty run - please wait ... (--no-warmup to disable)
srv init: initializing slots, n_slots = 1
slot init: id 0 | task -1 | new slot n_ctx_slot = 16384
main: model loaded
main: chat template, chat_template: {%- if tools %}
{{- '<|im_start|>system\n' }}
{%- if messages[0].role == 'system' %}
{{- messages[0].content + '\n\n' }}
{%- endif %}
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }}
{%- for tool in tools %}
{{- "\n" }}
{{- tool | tojson }}
{%- endfor %}
{{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }}
{%- else %}
{%- if messages[0].role == 'system' %}
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
{%- for index in range(ns.last_query_index, -1, -1) %}
{%- set message = messages[index] %}
{%- if ns.multi_step_tool and message.role == "user" and not('' in message.content and '' in message.content) %}
{%- set ns.multi_step_tool = false %}
{%- set ns.last_query_index = index %}
{%- endif %}
{%- endfor %}
{%- for message in messages %}
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
{%- elif message.role == "assistant" %}
{%- set content = message.content %}
{%- set reasoning_content = '' %}
{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
{%- set reasoning_content = message.reasoning_content %}
{%- else %}
{%- if '' in message.content %}
{%- set content = message.content.split('')[-1].lstrip('\n') %}
{%- set reasoning_content = message.content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
{%- endif %}
{%- endif %}
{%- if loop.index0 > ns.last_query_index %}
{%- if loop.last or (not loop.last and reasoning_content) %}
{{- '<|im_start|>' + message.role + '\n\n' + reasoning_content.strip('\n') + '\n\n\n' + content.lstrip('\n') }}
{%- else %}
{{- '<|im_start|>' + message.role + '\n' + content }}
{%- endif %}
{%- else %}
{{- '<|im_start|>' + message.role + '\n' + content }}
{%- endif %}
{%- if message.tool_calls %}
{%- for tool_call in message.tool_calls %}
{%- if (loop.first and content) or (not loop.first) %}
{{- '\n' }}
{%- endif %}
{%- if tool_call.function %}
{%- set tool_call = tool_call.function %}
{%- endif %}
{{- '\n{"name": "' }}
{{- tool_call.name }}
{{- '", "arguments": ' }}
{%- if tool_call.arguments is string %}
{{- tool_call.arguments }}
{%- else %}
{{- tool_call.arguments | tojson }}
{%- endif %}
{{- '}\n' }}
{%- endfor %}
{%- endif %}
{{- '<|im_end|>\n' }}
{%- elif message.role == "tool" %}
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
{{- '<|im_start|>user' }}
{%- endif %}
{{- '\n\n' }}
{{- message.content }}
{{- '\n' }}
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
{{- '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- if enable_thinking is defined and enable_thinking is false %}
{{- '\n\n\n\n' }}
{%- endif %}
{%- endif %}, example_format: '<|im_start|>system
You are a helpful assistant<|im_end|>
<|im_start|>user
Hello<|im_end|>
<|im_start|>assistant
Hi there<|im_end|>
<|im_start|>user
How are you?<|im_end|>
<|im_start|>assistant
'
main: server is listening on http://0.0.0.0:8081 - starting the main loop
srv update_slots: all slots are idle
srv log_server_r: request: GET /v1/models 127.0.0.1 200
srv params_from_: Chat format: Content-only
slot launch_slot_: id 0 | task 0 | processing task
slot update_slots: id 0 | task 0 | new prompt, n_ctx_slot = 16384, n_keep = 0, n_prompt_tokens = 1569
slot update_slots: id 0 | task 0 | kv cache rm [0, end)
slot update_slots: id 0 | task 0 | prompt processing progress, n_past = 1569, n_tokens = 1569, progress = 1.000000
slot update_slots: id 0 | task 0 | prompt done, n_past = 1569, n_tokens = 1569
slot release: id 0 | task 0 | stop processing: n_past = 1578, truncated = 0
slot print_timing: id 0 | task 0 |
prompt eval time = 1012.37 ms / 1569 tokens ( 0.65 ms per token, 1549.82 tokens per second)
eval time = 258.11 ms / 10 tokens ( 25.81 ms per token, 38.74 tokens per second)
total time = 1270.48 ms / 1579 tokens
srv update_slots: all slots are idle
srv log_server_r: request: POST /v1/chat/completions 127.0.0.1 200
srv params_from_: Chat format: Content-only
slot launch_slot_: id 0 | task 11 | processing task
slot update_slots: id 0 | task 11 | new prompt, n_ctx_slot = 16384, n_keep = 0, n_prompt_tokens = 1611
slot update_slots: id 0 | task 11 | kv cache rm [5, end)
slot update_slots: id 0 | task 11 | prompt processing progress, n_past = 1611, n_tokens = 1606, progress = 0.996896
slot update_slots: id 0 | task 11 | prompt done, n_past = 1611, n_tokens = 1606
slot release: id 0 | task 11 | stop processing: n_past = 1636, truncated = 0
slot print_timing: id 0 | task 11 |
prompt eval time = 613.51 ms / 1606 tokens ( 0.38 ms per token, 2617.71 tokens per second)
eval time = 653.35 ms / 26 tokens ( 25.13 ms per token, 39.80 tokens per second)
total time = 1266.86 ms / 1632 tokens
srv update_slots: all slots are idle
srv log_server_r: request: POST /v1/chat/completions 127.0.0.1 200
srv params_from_: Chat format: Content-only
slot launch_slot_: id 0 | task 38 | processing task
slot update_slots: id 0 | task 38 | new prompt, n_ctx_slot = 16384, n_keep = 0, n_prompt_tokens = 1574
slot update_slots: id 0 | task 38 | kv cache rm [5, end)
slot update_slots: id 0 | task 38 | prompt processing progress, n_past = 1574, n_tokens = 1569, progress = 0.996823
slot update_slots: id 0 | task 38 | prompt done, n_past = 1574, n_tokens = 1569
slot release: id 0 | task 38 | stop processing: n_past = 1584, truncated = 0
slot print_timing: id 0 | task 38 |
prompt eval time = 768.98 ms / 1569 tokens ( 0.49 ms per token, 2040.36 tokens per second)
eval time = 254.75 ms / 11 tokens ( 23.16 ms per token, 43.18 tokens per second)
total time = 1023.74 ms / 1580 tokens
srv update_slots: all slots are idle
srv log_server_r: request: POST /v1/chat/completions 127.0.0.1 200
srv params_from_: Chat format: Content-only
slot launch_slot_: id 0 | task 50 | processing task
slot update_slots: id 0 | task 50 | new prompt, n_ctx_slot = 16384, n_keep = 0, n_prompt_tokens = 4929
slot update_slots: id 0 | task 50 | kv cache rm [3, end)
slot update_slots: id 0 | task 50 | prompt processing progress, n_past = 2051, n_tokens = 2048, progress = 0.415500
slot update_slots: id 0 | task 50 | kv cache rm [2051, end)
slot update_slots: id 0 | task 50 | prompt processing progress, n_past = 4099, n_tokens = 2048, progress = 0.831000
slot update_slots: id 0 | task 50 | kv cache rm [4099, end)
slot update_slots: id 0 | task 50 | prompt processing progress, n_past = 4929, n_tokens = 830, progress = 0.999391
slot update_slots: id 0 | task 50 | prompt done, n_past = 4929, n_tokens = 830
slot release: id 0 | task 50 | stop processing: n_past = 5254, truncated = 0
slot print_timing: id 0 | task 50 |
prompt eval time = 2682.34 ms / 4926 tokens ( 0.54 ms per token, 1836.46 tokens per second)
eval time = 9502.10 ms / 326 tokens ( 29.15 ms per token, 34.31 tokens per second)
total time = 12184.44 ms / 5252 tokens
srv update_slots: all slots are idle
srv log_server_r: request: POST /v1/chat/completions 127.0.0.1 200
srv params_from_: Chat format: Content-only
slot launch_slot_: id 0 | task 379 | processing task
slot update_slots: id 0 | task 379 | new prompt, n_ctx_slot = 16384, n_keep = 0, n_prompt_tokens = 1573
slot update_slots: id 0 | task 379 | kv cache rm [3, end)
slot update_slots: id 0 | task 379 | prompt processing progress, n_past = 1573, n_tokens = 1570, progress = 0.998093
slot update_slots: id 0 | task 379 | prompt done, n_past = 1573, n_tokens = 1570
slot release: id 0 | task 379 | stop processing: n_past = 1583, truncated = 0
slot print_timing: id 0 | task 379 |
prompt eval time = 862.21 ms / 1570 tokens ( 0.55 ms per token, 1820.91 tokens per second)
eval time = 284.82 ms / 11 tokens ( 25.89 ms per token, 38.62 tokens per second)
total time = 1147.03 ms / 1581 tokens
srv update_slots: all slots are idle
srv log_server_r: request: POST /v1/chat/completions 127.0.0.1 200
srv params_from_: Chat format: Content-only
slot launch_slot_: id 0 | task 391 | processing task
slot update_slots: id 0 | task 391 | new prompt, n_ctx_slot = 16384, n_keep = 0, n_prompt_tokens = 7208
slot update_slots: id 0 | task 391 | kv cache rm [3, end)
slot update_slots: id 0 | task 391 | prompt processing progress, n_past = 2051, n_tokens = 2048, progress = 0.284129
slot update_slots: id 0 | task 391 | kv cache rm [2051, end)
slot update_slots: id 0 | task 391 | prompt processing progress, n_past = 4099, n_tokens = 2048, progress = 0.568258
slot update_slots: id 0 | task 391 | kv cache rm [4099, end)
slot update_slots: id 0 | task 391 | prompt processing progress, n_past = 6147, n_tokens = 2048, progress = 0.852386
slot update_slots: id 0 | task 391 | kv cache rm [6147, end)
slot update_slots: id 0 | task 391 | prompt processing progress, n_past = 7208, n_tokens = 1061, progress = 0.999584
slot update_slots: id 0 | task 391 | prompt done, n_past = 7208, n_tokens = 1061
slot release: id 0 | task 391 | stop processing: n_past = 7577, truncated = 0
slot print_timing: id 0 | task 391 |
prompt eval time = 4810.49 ms / 7205 tokens ( 0.67 ms per token, 1497.77 tokens per second)
eval time = 11443.72 ms / 370 tokens ( 30.93 ms per token, 32.33 tokens per second)
total time = 16254.21 ms / 7575 tokens
srv update_slots: all slots are idle
srv log_server_r: request: POST /v1/chat/completions 127.0.0.1 200
srv params_from_: Chat format: Content-only
slot launch_slot_: id 0 | task 765 | processing task
slot update_slots: id 0 | task 765 | new prompt, n_ctx_slot = 16384, n_keep = 0, n_prompt_tokens = 1572
slot update_slots: id 0 | task 765 | kv cache rm [3, end)
slot update_slots: id 0 | task 765 | prompt processing progress, n_past = 1572, n_tokens = 1569, progress = 0.998092
slot update_slots: id 0 | task 765 | prompt done, n_past = 1572, n_tokens = 1569
slot release: id 0 | task 765 | stop processing: n_past = 1582, truncated = 0
slot print_timing: id 0 | task 765 |
prompt eval time = 826.51 ms / 1569 tokens ( 0.53 ms per token, 1898.34 tokens per second)
eval time = 227.62 ms / 11 tokens ( 20.69 ms per token, 48.33 tokens per second)
total time = 1054.13 ms / 1580 tokens
srv update_slots: all slots are idle
srv log_server_r: request: POST /v1/chat/completions 127.0.0.1 200
srv params_from_: Chat format: Content-only
slot launch_slot_: id 0 | task 777 | processing task
slot update_slots: id 0 | task 777 | new prompt, n_ctx_slot = 16384, n_keep = 0, n_prompt_tokens = 4927
slot update_slots: id 0 | task 777 | kv cache rm [3, end)
slot update_slots: id 0 | task 777 | prompt processing progress, n_past = 2051, n_tokens = 2048, progress = 0.415669
slot update_slots: id 0 | task 777 | kv cache rm [2051, end)
slot update_slots: id 0 | task 777 | prompt processing progress, n_past = 4099, n_tokens = 2048, progress = 0.831338
slot update_slots: id 0 | task 777 | kv cache rm [4099, end)
slot update_slots: id 0 | task 777 | prompt processing progress, n_past = 4927, n_tokens = 828, progress = 0.999391
slot update_slots: id 0 | task 777 | prompt done, n_past = 4927, n_tokens = 828
slot release: id 0 | task 777 | stop processing: n_past = 5246, truncated = 0
slot print_timing: id 0 | task 777 |
prompt eval time = 2382.24 ms / 4924 tokens ( 0.48 ms per token, 2066.96 tokens per second)
eval time = 8172.57 ms / 320 tokens ( 25.54 ms per token, 39.16 tokens per second)
total time = 10554.82 ms / 5244 tokens
srv update_slots: all slots are idle
srv log_server_r: request: POST /v1/chat/completions 127.0.0.1 200