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 supported19 Subscribers
Add a CodeTriage badge to vllm
Help out
- Issues
- [Minimax-M2.5] Use bfloat16 gate linear
- [PERF] Extend NCCL symmetric memory to AllGather and ReduceScatter
- [ROCm] Skip encoder cache profiling on consumer RDNA GPUs
- [WIP] Add TRITON_MLA_SPARSE backend for SM80 sparse MLA support
- [Attention Backend] TurboQuant: 2-bit KV cache compression with 4x capacity
- [New Model]: add support for telechat3
- [Feature]: It's user unfriendly to panic when there is not enough VRAM to serve at least one request with the max seq len
- [BugFix] Fix shared reference bug in parsers for n>=2 and streaming
- [Bug]: cuda graph takes too much memory for qwen 3.5
- [XPU] Fix spec-decode UTs under tests/v1/spec_decode
- Docs
- Python not yet supported