[!IMPORTANT] This repository is a community driven quantized version of the original model meta llama/Meta Llama 3.1 8B Instruct which is the FP16 half precision official version released by Meta AI. Model Information The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks. This repository contains meta llama/Meta Llama 3.1 8B Instruct quantized using AutoGPTQ from FP16 down to INT4 using the GPTQ kernels performing zero point quantization with a group size of 128. Model Usage [!NOTE] In order to run the inference with Llama 3.1 8B Instruct GPTQ in INT4, around 4 GiB of VRAM are needed only for loading the model checkpoint, without including the KV cache or the CUDA graphs, meaning that there should be a bit over that VRAM available. In order to use the current quantized model, support is offered for different solutions as transformers…
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