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
- [Feature]: support chunked_prefill for llava
- [Bug]: Gemma2 models inference using vLLM 0.5.4 produces incorrect responses
- [WIP][SPMD] Support spec decoding
- `[Core]` Added streaming support to `LLM` Class
- [Misc] Add logging for engine and executor cleanup
- [Bug]: Guided decoding is broken because tokenizers can't be pickled
- [Feature]: API control over speculative decoding and prefix caching
- [CI/Build] custom build backend and dynamic build dependencies
- [Tracking issue] [Help wanted]: Multi-step scheduling follow-ups
- [do-not-merge] Test PR for loading models
- Docs
- Python not yet supported