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
- [RFC]: Standardize KV-cache Layouts
- [Model] llama: add FP8 scale name remapping to LlamaForCausalLM and LlamaModel
- fix: replace assert with early return in get_pkg_version for non-Linux platforms
- [Bug]: `prompt_logprobs` depends on request order when prefix caching is enabled
- [Bug]:Qwen3.5 with reasoning-parser returns non-standard tool call format when enable_thinking=true
- [Frontend] Improve interactive input line editing
- Fix Mamba copy metadata high-bit pointers
- [Core] [Quantization] Pass `out_dtype` to linear methods
- [Bug]: vLLM producing incorrect output for GLM-OCR
- [Bug]: NIXL connector silently disables HMA, halving KV cache capacity — flip default to HMA=on even with connectors
- Docs
- Python not yet supported