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]: KeyError: 'dbrx'
- [Misc]: RuntimeError: Cannot find any model weights [vllm=0.4.0]
- [Usage]: why can't the `max_model_len` be greater than `max_position_embeddings` for llama2?
- Add support for ReFT
- [Misc]: Odd number GPU utilization?
- [Feature]: option to return hidden states
- [Usage] [Bug]: run inference on mistralai/Mixtral-8x7B-Instruct-v0.1 with tensor parallel > 1 (currently not working)
- [Bug]: The first token generated after prefill occupies the GPU memory but virtual block
- [Feature]: Load new LoRA adapters on request
- [Bug]: AssertionError in neuron_model_runner.py assert len(block_table) == 1
- Docs
- Python not yet supported