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
- Add torch compile for qwen3_vl encoder
- [TurboQuant] Add NIAH long-context eval for TurboQuant KV cache
- fix: skip spec decode draft rejection after scheduler rewind
- Use FI tinygemm for faster BF16 GEMMs
- fix: default ChatMessage.tool_calls to None instead of empty list
- fix: clear response_format when tool_choice is auto to allow tool calls
- [RFC]: Ultimate Better Observability.
- [Bug] Fatal AssertionError: Encoder KV cache fails to evict tokens, exceeding max_model_len in long-lived WebSocket sessions
- [Bug]: Step 3.5 Flash MTP failed to start in v0.19.0
- [Bugfix] [ROCm] Add gfx12x FP8 support for fused_batched_moe kernels
- Docs
- Python not yet supported