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
- [Bugfix][Multimodal] Validate dynamic video sampling metadata
- [Doc] Clarify batch invariance Ampere support
- [Doc] Warn that fp8 KV cache fails on sm_120 with toolkit < 12.9
- [Bugfix][Frontend] Handle malformed Anthropic tool arguments
- [Doc] Add TTTPS Proof-of-Time provenance middleware example
- [BugFix] Use file:// rendezvous for single-node executors to eliminate startup port races
- [Bug]: BF16 MoE + LoRA startup crash on non-gated models (TrtLlmBf16LoRAExperts weight-shape assert)
- [MoE] Add Platform routing backend interface
- [Bug]: MTP proposer passes are forced to PIECEWISE (`llm_base_proposer` omits `uniform_decode`), so GDN runs eager Python every step (~16 ms/step CPU orchestration, GPU idle ~85%)
- Zen5 image build torch fix
- Docs
- Python not yet supported