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 supported3 Subscribers
Add a CodeTriage badge to vllm
Help out
- Issues
- About special tokens
- Serve model Mixtral-8x7B on 4xA100 cuda=12.1, pytorch=2.1.2 failed
- ValueError: Model QWenLMHeadModel does not support LoRA, but LoRA is enabled. Support for this model may be added in the future. If this is important to you, please open an issue on github.
- Add Support for QLORA/QA-QLORA weights which are not merged
- Is it possible to pass more than 1 token during decoding?
- Potential state leaks between tests in spec decoding test
- lm-evaluation-harness broken on master
- add aya-101 model
- Loading vLLM models into CPU memory
- Implement structured engine for parsing json grammar by token with `response_format: {type: json_object}`
- Docs
- Python not yet supported