Llama2 gptq GS: GPTQ group size. . Explanation of GPTQ parameters. , 2023) is a quantization algorithm for LLMs. Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. GPTQ is a post-training quantization (PTQ) algorithm, which means that it is applied to a pre-trained model. The 7 billion parameter version of Llama 2 weighs 13. Llama 2 70B - GPTQ Model creator: Meta Llama 2; Original model: Llama 2 70B; Description This repo contains GPTQ model files for Meta Llama 2's Llama 2 70B. 5 GB. - seonglae/llama2gptq. This is the 13B fine-tuned GPTQ quantized model, optimized for dialogue use cases. After 4-bit quantization All recent GPTQ files are made with AutoGPTQ, and all files in non-main branches are made with AutoGPTQ. Repositories available Chat to LLaMa 2 that also provides responses with reference documents over vector database. LLaMa2 GPTQ. This model has 7 billion parameters and was pretrained on 2 trillion tokens of data from publicly available sources. Llama 2 70B - GPTQ Model creator: Meta Llama 2; Original model: Llama 2 70B; Description This repo contains GPTQ model files for Meta Llama 2's Llama 2 70B. Llama-2-7B GPTQ is the 4-bit quantized version of the Llama-2-7B model in the Llama 2 family of large language models developed by Meta AI. These files are GPTQ model files for Meta's Llama 2 7b Chat. Question Answering AI who can provide answers with source documents based on Texonom. This makes it a more efficient way to quantize LLMs, as it does not require the GPTQ (Frantar et al. Locally available model using GPTQ 4bit quantization. Bits: The bit size of the quantised model. Files in the main branch which were uploaded before August 2023 were made with GPTQ-for-LLaMa. GPTQ models for GPU inference, with multiple quantisation parameter options. Multiple GPTQ parameter permutations are provided; see Provided Files below for details of the options provided, their parameters, and the software used to create them. You can see it as a way to compress LLMs. This repo contains GPTQ model files for Together's Llama2 7B 32K Instruct. ehtf xjk tdnmd sylboq mcsyrpob mxggqn haye wlger xijami xwz