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
- [Installation]: pip install -e .
- [Bug]: got RuntimeError: Triton Error [CUDA]: device kernel image is invalid when running deepseek-v2
- [Usage]: The GPU KV cache usage is still small (below 20% most of time) though I turned the enable_prefix_caching on as well as modified the block_size from 16 to 32. How could I numerally increase the KV cache for the Radix prefix caching?
- c4ai-command-r-plus on 16GPUs
- [Bug]: AsyncEngineDeadError: Task finished unexpectedly with qwen2 72b
- [RFC]: Deprecate stop_reason in OpenAI Entrypoint in favor of finish_reason; fix implementation of finish_reason
- [Usage]: How to increase the context length when start with vllm.entrypoints.openai.api_server
- [Usage]: BNB Gemma2 9b loading problems
- [Feature]: Precise model device placement
- [Usage]: How to use Multi-instance in Vllm? (Model replication on multiple GPUs)
- Docs
- Python not yet supported