---
license: cc-by-nc-4.0
tags:
- exllamav2
- exl2
- Text Generation
- not-for-all-audiences
- nsfw
- Transformers
- llama
- text-generation-inference
---

# Amethyst 13B Mistral - EXL2 - 8bpw, hb8
- Model creator: [Undi](https://huggingface.co/Undi95)
- Original model: [Amethyst 13B Mistral](https://huggingface.co/Undi95/Amethyst-13B-Mistral)

## Description
- 8 bits per weight.
- 8 bits "for the lm_head (output) layer of the model," instead of the typical 6.
- Works fine with 24 GB VRAM and no flash attention v2 under Windows.
- For me runs at about 64% of the 4-bit GPTQ speed.

I converted the model using the convert.py script from the exllamav2 repo:  
https://github.com/turboderp/exllamav2  
Its documentation:  
https://github.com/turboderp/exllamav2/blob/master/doc/convert.md

Measuring the model took 51 minutes, converting it 18 minutes.

I used the WikiText-2-v1 dataset for calibration:  
https://huggingface.co/datasets/wikitext/blob/refs%2Fconvert%2Fparquet/wikitext-2-v1/test/0000.parquet