vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported18 Subscribers
Add a CodeTriage badge to vllm
Help out
- Issues
- [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
- [Bug]: nemotron_h does not work with DeepEP all2all backends due to hidden dim rounding
- [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
- [Performance]: Flashinfer TRTLLM MoE for Qwen3.5
- [Bug] _warmup_prefill_kernels in qwen3_next.py leaks ~3.4 GiB GPU memory despite empty_cache()
- Docs
- Python not yet supported