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]: Implement Concurrent Partial Prefills In V1 Engine
- [Bug]: wake up OOM (72B model in 8*A800(40G))
- [Feature]: [V1] Parallel sampling should support metrics
- [Bug]:There is no module or parameter named 'base_model' in Qwen2ForCausalLM
- [Build] Do not add cmake/ninja dependencies when they are installed
- [Bug]: Close feature gaps when using xgrammar for structured output
- [Model] LoRA with lm_head and embed_tokens fully trained - 4
- [Feature]: Add support for attention score output
- [Feature]: add DoRA support
- [Feature]: load and save kv cache from disk
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- Python not yet supported