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
- [Rust Frontend] Add Jamba tool parser
- Fix model info cache for package models
- docs: add note on bitsandbytes batch size dependency
- [Bugfix] Use block_k for block-wise FP8 activation group_shape
- [Docker] Rename build stages for clarity (base->build-base, build->wheel-build, vllm-base->runtime-base)
- [Quantization] Fix Marlin repack PTX incompatibility on H100/H200 (rebased #38669)
- [Attention][MLA] FlashMLA sparse: DCP on the fp8_ds_mla mixed-batch path + MTP (stacked on #46076)
- Prewarm full cudagraph capture forward pass
- [codex] Optimize FP8 group 128 quantization for Hopper
- [Bugfix] Transformers backend: recompute `mm_token_type_ids` per request for M-RoPE
- Docs
- Python not yet supported