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
- [BugFix][27485] Fix ITL algorithm for chunked OpenAI chat completions
- [Bug]: Vllm loading gptq quantization of int8 accuracy Qwen3-Next-80b-A3B model error KeyError: 'layers.0.mlp.experts.w2_weight'
- [core] Request wait outside the core.
- [Bugfix] Add explicit cuBLAS linking to _C extension
- [New Model]: https://github.com/facebookresearch/omnilingual-asr
- [Frontend] Support for direct url passing to opencv for video
- fix video frame check error
- Document Ray Serve LLM incompatibility with vLLM v1 engine for PD disaggregation
- [Bug]: Error occurred when I run an simple command: "TORCH_USE_CUDA_DSA=1 LMCACHE_CHUNK_SIZE=8 vllm serve /home/nbw/model/Qwen2-0.5B/ --port 8000 --kv-transfer-config '{"kv_connector":"LMCacheConnectorV1", "kv_role":"kv_both"}'"
- [Feature]: Default eplb num_redundant_experts to the lowest valid value if unspecified
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- Python not yet supported