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
- feat: auto-calculate optimal max_num_seqs via startup decode profiling
- [Core][Feat] Add max-waiting-queue-time parameter to reject requests
- [Bugfix] Fix KV cache sizing and allocation for hybrid Mamba/attention models
- fix: apply redundancy_buffer_memory to KV cache allocation
- [RFC]: Create separation between independent HTTP API definitions
- [Doc] Fix inconsistent hash notation in Prefix Caching diagram
- [Bugfix] Handle inaccessible GPUs in CudaPlatform.log_warnings()
- [MM Encoder] Add Turing compatability for FlashInfer ViT backend
- [CI] Add macOS ARM CPU wheel build and publish
- fix(cpu_worker): Fix list index out of range in omp_cpuids_list for multi-node distributed inference
- Docs
- Python not yet supported