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
- [Docs][KV Events] Document the KV cache events contract
- [Bugfix] Reuse preallocated workspace for FlashInfer CUTLASS MoE
- [ROCm][Perf] ROCm Direct A2A combine kernels for MLA DCP
- [Feature]: Export live EAGLE-3 training data (committed tokens + aux hidden states) for online draft-model adaptation
- Report usage.prompt_tokens_details.multimodal_tokens in the Rust frontend
- [Bugfix][DeepSeek V4/V4.1] Fix Engram and O-group sharding at TP16/TP32
- [Perf][DCP] Vectorize SM100 direct Output/LSE consumption
- [Bugfix] Preserve variadic overrides for positional-only names
- [Bugfix][Kernel] Fit Triton prefill attention tiles for 256-wide heads in shared memory (EmbeddingGemma 2 support)
- [Model][LoRA] Support LoRA for EmbeddingGemma2Model
- Docs
- Python not yet supported