t_draft = 0.00 ms, -nan us per token, -nan tokens per secondn_accept = 0accept = -nan%当然,也可以“跑个分”:# ./build/bin/llama-bench -m ../LLM-Research/Meta-Llama-3___1-8B-Instruct/Meta-Llama-8B-3___1-Instruct-F16.ggufggml_cuda_init: GGML_CUDA_FORCE_MMQ: noggml_...
response: empty if the response was streamed, if not streamed, this will contain the full response To calculate how fast the response is generated in tokens per second (token/s), divideeval_count/eval_duration. {"model":"llama2","created_at":"2023-08-04T19:22:45.499127Z","response":...
{"function":"update_slots","ga_i":0,"level":"INFO","line":1812,"msg":"slot progression","n_past":1085,"n_past_se":0,"n_prompt_tokens_processed":307,"slot_id":0,"task_id":836,"tid":"139900887961600","timestamp":1714925939} {"function":"update_slots","level":"INFO","line...
llama_new_context_with_model: graph nodes=1030llama_new_context_with_model: graph splits=420n_draft=5n_predict=0n_drafted=0t_draft_flat=0.00ms t_draft=0.00ms,-nanus per token,-nantokens per second n_accept=0accept=-nan% 当然,也可以“跑个分”: 代码语言:bash 复制 # ./build/bin/llama...
To calculate how fast the response is generated in tokens per second (token/s), divide eval_count / eval_duration * 10^9. { "model": "llama3", "created_at": "2023-08-04T19:22:45.499127Z", "response": "", "done": true, "context": [1, 2, 3], "total_duration": 10706818083...
To calculate how fast the response is generated in tokens per second (token/s), divide eval_count / eval_duration * 10^9. { "model": "llama3", "created_at": "2023-08-04T19:22:45.499127Z", "response": "", "done": true, "context": [1, 2, 3], "total_duration": 10706818083...
generation_config.json model-00002-of-00004.safetensors model.safetensors.index.json special_tokens_map.jsonUSE_POLICY.md # ls*.safetensors|xargs-I{}shasum{}b8006f35b7d4a8a51a1bdf9d855eff6c8ee669fb model-00001-of-00004.safetensors ...
tokens: 32_768, vision: false, }, { displayName: 'Qwen Chat 7B', functionCall: false, Expand Down 2 changes: 2 additions & 0 deletions 2 src/config/server/provider.ts Show comments View file Edit file Delete file This file contains bidirectional Unicode text that may be interpreted ...
To calculate how fast the response is generated in tokens per second (token/s), divide eval_count / eval_duration. { "model": "llama2:7b", "created_at": "2023-08-04T19:22:45.499127Z", "response": "", "context": [1, 2, 3], "done": true, "total_duration": 5589157167, "loa...
To calculate how fast the response is generated in tokens per second (token/s), divide eval_count / eval_duration * 10^9. { "model": "llama3", "created_at": "2023-08-04T19:22:45.499127Z", "response": "", "done": true, "context": [1, 2, 3], "total_duration": 10706818083...