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
- Hybrid KV offload: planner, MultiConnector, and mamba alignment for hybrid models
- [Misc] Switch py-cpuinfo dependency to maintained fork
- [RFC]: Endpoints to Retrieve User Configuration and Runtime Data
- Add `sp_min_token_num=0` to E2E correctness tests for SP and AsyncTP
- [RFC]: Support ViT Full CUDA Graph (Tracker)
- [Bug]: Based on Qwen3.5-35B-A3B, why does enabling MTP speculative decoding actually reduce the prefix cache hit rate?
- Hybrid KV offload: MultiConnector + planner for mamba+attention models
- [Feature]: Quantization support (AWQ / GPTQ / FP8) for mistralai/Voxtral-Mini-4B-Realtime-2602
- V2 model runner crashes on Qwen3.5 mixed attention (linear + full)
- [Bugfix][CPU][v1] Fix IndexError in CPUWorker for multi-node DP/EP on CPU-only nodes
- Docs
- Python not yet supported