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
- [vLLM IR] Support optional output tensor in dynamic_group_quant_fp8 and refactor legacy calls
- [Core/IR] Migrate per_token_group_quant_fp8 to standardized IR Op
- [Bugfix] Fix forced tool_choice crash when reasoning_parser consumes all content
- [Feature]: Support iterative in-place weight editing on TP workers (online RLHF / steering / abliteration)
- [Perf] Automatically enable PDL in "interactivity" mode
- REPRO: revert sparse MLA qk_norm_rope_fusion workaround
- [Fix][ROCm] Suppress irrelevant NIXL logs at import
- [Bug]: DeepSeek-R1 hang on 8xB200 after NCCL Initialization
- [Bug]: `/v2/embed` with `input_type` returns misleading 400 on nemotron-embed-vl
- [Bug]: Qwen/Qwen3.6-27B - Batch Inference still not working in vllm 0.19.1
- Docs
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