---
library_name: transformers
tags:
- aqlm
- llama
- facebook
- meta
- llama-3
- conversational
- text-generation-inference
base_model: meta-llama/Meta-Llama-3.1-70B-Instruct
---

Official [AQLM](https://arxiv.org/abs/2401.06118) quantization of [meta-llama/Meta-Llama-3.1-70B-Instruct
](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) finetuned with [PV-Tuning](https://arxiv.org/abs/2405.14852).

For this quantization, we used 1 codebook of 16 bits and groupsize of 8.

Results: 
| Model | Quantization | MMLU (5-shot) | ArcC   | ArcE   | Hellaswag | PiQA   | Winogrande | Model size, Gb |
|-------|--------------|---------------|--------|--------|-----------|--------|------------|----------------|
|       | fp16         | 0.8213        | 0.6246 | 0.8683 | 0.6516	 | 0.8313 | 0.7908     | 141            |
|       | 1x16g8       | 0.7814        | 0.5478 | 0.8270 | 0.6284	 | 0.8036 | 0.7814     | 21.9           |