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]: Tracking follow-up progress on Encode–Prefill–Decode Disaggregation
- [Refactor] Make Int8ScaledMMLinearLayerConfig to use QuantKey
- [BugFix] Support DP/EP in AG/RS for FLASHINFER_CUTLASS FP8
- [Bug]: CPU tests hit CUDA path when VLLM_TARGET_DEVICE=cpu [CPU Backend]
- [RFC]: [P/D] Prefill compute optimizations with bi-directional KV cache transfers between P and D nodes
- Factor out masked-m format silu_mul_quant and use it in BatchedTritonExperts
- Fix issues when run Nemotron Parse FP8 checkpoint
- [Feature]: Support gemma3 Models in eagle3 Speculative Decoding
- [Feature]: Qwen3-Next dual-stream execution in_proj_qkvz in_proj_ba
- [Usage]: How to use VLLM to infer the MXFP4A16 model exported by LLM Compressor
- Docs
- Python not yet supported