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]: RuntimeError: Error in model execution (input dumped to /tmp/err_execute_model_input_20241016-170451.pkl): view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.
- [Installation]: issue with docker setup
- [Bug]: Speculative decoding breaks guided decoding.
- [New Model]: Support Zyphra/Zamba2-7B
- [Bug]: When using the latest 0.6.3, No module named 'vllm._version' appears
- [Bug]: KeyError: 'layers.60.mlp.gate_up_proj.weight' mistral large bitsandbytes
- [Usage]: Obtaining success / error rate % metrics
- [Installation]: When can release the WHL package for version v0.6.3 of cu118?
- [Installation]: v0.6.3 install -cutlass failed (Fetchcontent.cmake build step)
- [Misc]: Im trying to host my finetuned Llama -3-8b instruct in Vllm
- Docs
- Python not yet supported