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
- [CI] Narrow CUDA image cache inputs and reuse published ancestors
- [ROCm][MoRIIO] Support DCP for decode instance in PD disaggregated serving with MoRI WRITE mode
- [RFC]: Integrating LeapQuant into vLLM — INT8 Quantization of GDN/KDA Linear Attention Recurrent States
- [Feature][Quantization] Support compressed-tensors FP8 Marlin cache restarts
- [Bugfix] Fix DSA fusion budgets, RoPE capacity and NUMA startup
- [Model][Qwen4Exp] Run routed experts on DeepGEMM MegaMoE (MXFP8 or MXFP4)
- [Docs][NIXL] Document GH200 KV transfer integrity troubleshooting
- [Doc][Recipe] Kimi-K3: drop removed retention and RPC timeout envs
- [Perf][Rust Frontend] Accept decoded images over NIXL in gRPC
- [Core][Spec Decode] Give the DFlash/DSpark drafter's KV its own block pool
- Docs
- Python not yet supported