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
- [Bug]: Requests larger than 75k input tokens cause `Input prompt (512 tokens) is too long and exceeds the capacity of block_manager` error
- [Bug]: Intermitted model load failure with error `Got async event : local catastrophic error` on A100
- [Performance]: Prefix-caching aware scheduling
- Adding new cutlass configurations for llama70B
- [Frontend] Add option for LLMEngine to return model hidden states.
- [Bug]: ray + vllm async engine: Background loop is stopped
- [Core] Adding Control Vector Support
- [misc] Optimize speculative decoding
- [plugin] move custom executor to plugins
- [Usage]: Does vLLM support prefix decoder / causal mask with prefix?
- Docs
- Python not yet supported