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
- [Core][Feature] Observation Plugin for Intercepting & Routing on Activations
- [WIP][BugFix] Fix PP OOM for Qwen3Next/Qwen3_5 by guarding embed_tokens and lm_head
- [Bug]: EAGLE3 speculative decoding + multimodal crash under high concurrency
- [Feature]: W6A16 Support
- [Bug]: GDN attention backend crashes with mixed decode/spec_decode batch when serving Qwen3.5 family models with MTP
- [Bugfix][Core] Fix gdn kernel mixed batch spec decode crash
- [RFC] [Feature]: PD Disaggregation with MooncakeConnector Roadmap
- [Bug]: KeyError 'layers.0.mlp.experts.w2_weight' when using speculative_config method='mtp' with Qwen3.5-122B-GPTQ-Int4 (moe_wna16)
- [Feature]: Add /health/ready endpoint for GPU health verification
- [Feature]: fused SiLU + fp8 block quantized kernel in Helion
- Docs
- Python not yet supported