vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [Bugfix][Pooling] Preserve cache_salt for chunked embeddings
- [New Model]: sarvamai/shuka-1
- [XPU] refine docker file to ensure oneAPI envs properly sourced
- [Bugfix][Config] Expand debug dump path before absolutizing
- [MRV2][Performance] Skip no-op FP32 logits materialization
- [Warmup] Tune the LM head GEMM during FlashInfer autotune
- RuntimeError: shape mismatch during KV cache init with EP + DP on MoE model
- fix: bad invalid expert IDs and scaling factor in FlashInfer all-to-all communication integration
- [Bug]: Mistral models with tool_choice=required + streaming generates invalid tool_call_id format
- [Bugfix] Fix ZeroDivisionError when Dynamic SD schedule includes K=0 for DSpark draft cudagraph capture
- Docs
- Python not yet supported