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
- [Performance]: Audit RoPE + KV-cache fusion coverage for GQA, MLA, and SparseMLA on CUDA
- [Bug]: Why does kv-cache-dtype=fp8 OOM more easily than bf16/fp16 on long-context GLM-5.1-AWQ runs?
- [Bug]: AssertionError: Overwriting existing tensor attribute: weight_loader when serving FP8 model on 2x RTX 5090 (Blackwell)
- [CPU][Bug] Dynamic Speculative Decoding crashes on CPU backend
- Backport workflow-hardening fix (excessive-permissions) to 5 release branches
- [New Model]: Couqi XTTS_v2 multilanguage text-to-speech
- [Bug]: Gemma4ForConditionalGeneration + runtime LoRA greedy decode diverges from HuggingFace transformers on text-only prompts
- [Attention] Support NVFP4 KV cache on SM8x and SM12x with FlashInfer
- [Bugfix][MiniMax-M3] Fix garbled outputs and streaming reasoning parser on NVFP4 MoE backends for SM 12.0a (RTX PRO 6000 Blackwell)
- Fix Cutlass FP8 padded weight loader replacement
- Docs
- Python not yet supported