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---
library_name: transformers
tags:
- llama
- facebook
- meta
- llama-3
- conversational
- text-generation-inference
---
Official [AQLM](https://arxiv.org/abs/2401.06118) quantization of [meta-llama/Meta-Llama-3.1-8B-Instruct
](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) finetuned with [PV-Tuning](https://arxiv.org/abs/2405.14852).
For this quantization, we used 2 codebooks of 8 bits and groupsize of 8.
Results:
| Model | Quantization | MMLU (5-shot) | ArcC| ArcE| Hellaswag | PiQA | Winogrande | Model size, Gb |
|------|------|-------|------|------|------|------|------|------|
|meta-llama/Meta-Llama-3.1-8B-Instruct| None | 0.6817 | 0.5162 | 0.8186 | 0.5909 | 0.8014 | 0.7364 | 16.1 |
| | 2x8g8 | 0.5533 | 0.4531 | 0.7757 | 0.5459 | 0.7835 | 0.7064 | 3.9 |
**Note**
We used `lm-eval=0.4.0` for evaluation. |