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
- [Performance]: In tokens processing performance. Bad scaling with tensor-parallel
- [Usage]: how to abort request and stop inference?
- [Feature]: Is it possible to control whether to use speculative decoding when making a request?
- [RFC]: More rigorous compilation warnings
- [DO NOT MERGE] Asynchronous Output Processing POC [using asyncio]
- [Bug]: : ERROR 07-31 11:57:33 async_llm_engine.py:658] Engine iteration timed out. This should never happen!
- [Feature]: Add security scheme to server
- Add Fused MoE W8A8 (Int8) Support
- [Bug]: base_model.model.model.layers.0.mlp.down_proj.lora_magnitude_vector is unsupported LoRA weight
- [Bug]: 导入default_dump_dir报错
- Docs
- Python not yet supported