VLLM内部根据max_model_len计算max_num_batched_tokens的过程是通过定义模型的最大序列长度和批处理大小...
You can get past this manually by setting max_num_batched_tokens, but we should take care of this automatically vllm serve /home/vllm-dev/DeepSeek-R1 --trust-remote-code --tensor-parallel-size 8 --max-num-batched-tokens 163840 Client: fromopenaiimportOpenAIopenai_api_key="EMPTY"openai_...
If you set the max_num_batched_tokens or max_num_seqs with low value then the prefill batch size will be small (e.g., 1) which might not hurt performance, there is no one size fit all suggestion I guess, I think you can tweak the prefill batch size through these two knobs and u...
skip max_num_batched_tokens < max_model_len check 支持32k长序列场景,16k输入 此Pull Request 需要通过一些审核项 类型指派人员状态 审查已完成(0/0人) 测试已完成(0/0人) 8提交1文件2检查代码问题0 Erpim指派了TronZhang参与评审3月17日 23:16 ...
max_num_batched_tokens是指在单个批次（batch）中可以处理的总的token数量。这个值通常由模型的内部机制...
在VLLM（非常大语言模型）内部，根据max_model_len自动计算max_num_batched_tokens是为了优化模型的性能...
Your current environment The output of `python collect_env.py` How would you like to use vllm I want to run inference of a [specific model](put link here). I don't know how to integrate it with vllm. Before submitting a new issue... Make...