[D] Is there an efficient way to make inferences with open-source LLM?

• mpt-30B-inference

  3 573 6.2 Python

  Run inference on MPT-30B using CPU

4-bit. I've used this implementation: https://github.com/abacaj/mpt-30B-inference/tree/main

• vllm

  32 20,742 9.9 Python

  A high-throughput and memory-efficient inference and serving engine for LLMs

  

I found vLLM to work pretty well. Gives a nice boost. It doesn't support MPT yet although you can try to add it: https://github.com/vllm-project/vllm. There's exllama for running quantized models: https://github.com/turboderp/exllama. You can also try TGI: https://github.com/huggingface/text-generation-inference

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• exllama

  64 2,638 9.0 Python

  A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.

I found vLLM to work pretty well. Gives a nice boost. It doesn't support MPT yet although you can try to add it: https://github.com/vllm-project/vllm. There's exllama for running quantized models: https://github.com/turboderp/exllama. You can also try TGI: https://github.com/huggingface/text-generation-inference

• text-generation-inference

  30 8,193 9.6 Python

  Large Language Model Text Generation Inference

  

I found vLLM to work pretty well. Gives a nice boost. It doesn't support MPT yet although you can try to add it: https://github.com/vllm-project/vllm. There's exllama for running quantized models: https://github.com/turboderp/exllama. You can also try TGI: https://github.com/huggingface/text-generation-inference

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