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 supported29 Subscribers
View all SubscribersAdd a CodeTriage badge to vllm
Help out
- Issues
- [Bug]: SM120 / RTX 5090 source build still registers unsupported FlashMLA / FA targets and uses non-SM120 Marlin defaults.
- [Core] Skip np.repeat in _prepare_inputs when all requests are decodes
- [Bug]: Gibberish output and collapsing generation throughput with Qwen3.5-35B-A3B-FP8 and speculative decoding enabled
- [Bug]: Qwen1 use_logn_attn may be unsupported in vLLM
- [WIP][Bugfix] Fix CUDA illegal memory access for GPTQ Marlin MoE with CUDA graphs
- [kv_offload] Fix bare Exception types and add FilterReusedOffloadingManager tests
- [Bug]: Tesla T4 GPU - triton.runtime.errors.OutOfResources: out of resource: shared memory, Required: 81920, Hardware limit: 65536. Reducing block sizes or `num_stages`
- [Bug]: GLM-4.7-Flash does not return tool_calls field in vLLM 0.16.0 even with --tool-call-parser glm47
- [Bug]: Qwen3-Coder-Next-FP8 start error wifh tp=8 on H100
- [Perf] recreate torch profiler wrapper for each new profiling session to avoid slow starts
- Docs
- Python not yet supported