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
- feat(ep): add --expert-placement-file for custom MoE expert-to-rank mapping
- fix(api): return HTTP 413 instead of 400 for oversized requests
- [Feature]: Add --force-close-connections flag to vllm bench serve
- fix: use external_req_id for P2P NCCL keys in disaggregated prefill
- [Build] Update numba version to 0.63.1.
- [Build] Add Python 3.14 to supported version list.
- [Do Not Merge][Attention] Enable masked MHA for topk sparse attention using FA4
- Handle setpgrp permission errors in forked test harness
- Fix vllm build for power
- [Core] Enable FP8 KV cache with Decode Context Parallel (DCP) for MLA
- Docs
- Python not yet supported