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
- Revert "[Bugfix][Spec Decode] Capture the widest uniform decode batch by default" (#50488)
- [Feature]: cannot budget KV cache per GPU when one card of a DP group is shared with another process
- [Bugfix][Core] Sync envs.py declarations with the runtime table
- [Bug]: fp8e4nv data type error on A100
- [RFC]: Privacy-safe runtime incident snapshots for fatal EngineCore failures
- [Bug]: batch-invariant M buckets collapse under `torch.compile` (0.28.0)
- [ROCm][Perf] Widen the sparse index-remap tile for prefill-sized batches
- [Bugfix] GLM 5.3 compat w/ parser: ignore enable_thinking
- [MoE] Unify Int8, W4A8, and W4A8_Int8 MoE Oracles with Class Structure (#37753)
- [MoE] Complete MoE Oracle Class Migration for FP8, NVFP4, MXFP8, and WNA16 (#37753)
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- Python not yet supported