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
- [Compile] Add autotune_batch_hint config for dynamic shapes
- [Bug]: The content of response from Kimi-K2.5 is empty.
- feat(mla): add default do_kv_cache_update for MLA
- [Model] Add support for Solar Open
- [XPU] Support Qwen3 next
- [WIP][Kernel] Add Helion kernel for scaled_mm
- [Bug]: DeepSeekV3.1 with fp8 kvcache in v0.15.0 produces garbled output
- [RFC]: Enable reproducible benchmarking in benchmark_serving_multi_turn with API-usage token counts
- [RFC]: Improve Dynamo compile times 5-10x via unsafe assumptions
- [Bugfix] Handle case when kimi ends reasoning with a tool call
- Docs
- Python not yet supported