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]: Chunked prefill + lora
- [Performance]: Splitting model across GPUs with varying vRAM
- [Feature]: Request for support of InternLM2ForCausalLM lora loading
- [Feature] [Spec decode]: Combine chunked prefill with speculative decoding
- [Bug]: Command-R incorrect output contains `<EOS_TOKEN>` and seems to do text prediction rather than conversation
- [Bugfix] Adds outlines performance improvement
- [Performance]: A few performance-related questions.
- [Feature]: Adopt Colossal Inference Features (55% speedup over vLLM)
- [Usage]: extractive question answering using VLLM
- [Feature]: How to Enable VLLM to Work with PreTrainedModel Objects in my MOE-LoRA? THX
- Docs
- Python not yet supported