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---
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 |
|