vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [RFC]: Pinned Caching with Automatic Prefix Caching (Related to Anthropic Prompt Caching API)
- [Core] feat: support pinned caching with prefix caching
- [Bug]: 3090 P@P
- [Performance]: guided generation is very slow in offline mode
- [BugFix] Spec Decode error:No available block found in 60 Second.
- Do vLLM support `input_embeds` as input while using LLama?
- [Usage]: How to access mlp layer using the current version vllm(0.4.0)
- [RFC]: More functionality for API control
- [Bug]: Speculative Decode + OpenTelemetry not working
- [Bug]: --Chunked prefill can't be used together with num-scheduler-steps
- Docs
- Python not yet supported