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
- [Feature]: W4A16 (int4) GEMM / Grouped GEMM Kernels for AMD
- [Feature]: MXFP8 GEMM / Grouped GEMM Kernels for AMD
- [RFC]: Helix (Context + Tensor) Parallelism for Efficient Long-Context Decoding
- [Doc]: Setting Encoder Cache for MultiModal LLMs
- [Feature][Scheduler] Add split prefix caching feature to eliminate bf16 GEMM tiling divergence across cache-hit/miss paths
- [RFC] Change the directory layout from `scaled_mm/` and `mixed_precision/` to backend-first .
- [Quantization][Refactor] Clean up GPTQ + AWQ quantization
- [Anthropic API] Fix 6 protocol compliance bugs in Messages endpoint
- [Bugfix] Fix RAW hazard and optimize stores in EP Scatter Kernel
- [Bugfix] Add reasoning_content backward compat to DeltaMessage for streaming
- Docs
- Python not yet supported