vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [WIP] Caching of tensors for decode (flash-attn)
- [RFC]: vLLM plugin system
- [Installation]: ERROR: Failed to build installable wheels for some pyproject.toml based projects (vllm, xformers, vllm-nccl-cu12)
- [Bug]: llama3.1-70B RuntimeError: Inplace update to inference tensor outside InferenceMode is not allowed.You can make a clone to get a normal tensor before doing inplace update.
- [New Model]: Mantis
- [Usage]: How to test that chunked-prefill improves ITL/e2e latency almost 2X improvement at high QPS?
- [Bug]: LLM output not stop when inference.
- [Performance]: max_model_len argument to LLM class does not limit GPU utilization.
- [Usage]: assert error: assert self._num_computed_tokens <= self.get_len()
- [Bug]: 单gpu没有任何反应(设置tensor_parallel_size=1模型加载失败)
- Docs
- Python not yet supported