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
- feat(benchmark/kernels): add scaled_fp8_quant benchmark with multiple quantization modes
- [ROCm][FEAT] Integrate aiter gemm w8a8 ptpc
- add video [Model] Video Frame Sparsification via Pixel-Level Similarity for Efficient Multimodal Long-Video Inference for Qwen2.5_vl and Qwen3_vlsparse
- [Usage]: How to set the language in Qwen3-Asr
- feat: Use an executor to parallelize load of deepseek v2 based models (kimi, etc)
- feat(pooling/score): Enhance RerankRequest with optional instruction field and multimodal input support
- [BugFix] Fixed the argument name for the number of redundant experts in eep example
- Fix empty content when max_tokens truncates reasoning end token
- [chore] make register_module lazy by default
- Add vllm_enable_compile_cache config flag with backward compatibility
- Docs
- Python not yet supported