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
- [Perf] Add tuned MoE configs for E=256, N=512/1024 on H100/H200/B200
- config: add compile_factors() and refactor compute_hash() as thin wrappers
- [Bugfix][NIXL] Fix best_of_n KV leak and early-notification race in P/D
- WIP: FP8 SSM Cache Checkpointing
- [Bugfix] Assert KV connector ext_tokens contract in scheduler
- manually fuse norm and rope
- [Performance]: V1 sample_tokens p99 can include sampled-output readiness; moving the wait to get_output did not improve serving throughput in my setup
- Revert "Add `model` to `WeightTransferEngine.__init__`" (#42922)
- [Feature]: Add supports to Intel/DeepSeek-V4-Pro-W4A16-AutoRound
- [Docs] Fix incorrect docstring for `all_non_structural_tag_constraints_none`
- Docs
- Python not yet supported