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 supported13 Subscribers
Add a CodeTriage badge to vllm
Help out
- Issues
- [Misc][Spec Decode] support different load config for draft model
- [Usage]: Unable to load Mistral-Small-3.2-24B-Instruct-2506-FP8 due to "Value error, Found unknown quantization", but the same configs worked for vllm v0.11.0
- [Bug]: vLLM-compile should not execute the decoder forward pass during compilation
- [Bug]: required numpy version mismatch between modules
- fix: optimize cold start compilation by triggering torch.compile with minimal batch size
- [ROCm][CI] Fix serving tokens test failures
- [Bug]: pd disaggregation on the same host with nixl connector can not use nvlink to transfer kv cache
- [Bug]: Qwen3-1.7B apparently not respecting max-model-len (can't generate >2048 tokens)
- [Feature]: W4A16 (int4) GEMM / Grouped GEMM Kernels for AMD
- [Feature]: MXFP8 GEMM / Grouped GEMM Kernels for AMD
- Docs
- Python not yet supported