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
- [Feature]: fused RMSNorm + fp8 block quantized kernel in Helion
- fix(reasoning): MiniMaxM2ReasoningParser broken for M2.5
- [Bugfix] Respect max_output_tokens in Harmony tool-call loop
- Use Inductor for More Quant Fusion
- [Bugfix] Handle ImportError for flash_attn in ApplyRotaryEmb class
- [MRV2][Attention] Remove `set_workspace_buffer` pattern in FlashInfer
- [Core] Add hybrid_ep backend
- [Frontend][Bugfix] Fix double BOS token in Responses API for models with add_bos_token
- [Bugfix] Prevent IndexError on empty content in HarmonyContext tool calls
- [Kernel] Add indexer_concat_quant_fp8 kernel for DeepSeek V3.2
- Docs
- Python not yet supported