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Updated metrics for new revision of model
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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
](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) 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 |
|------|------|-------|------|------|------|------|------|------|
|meta-llama/Meta-Llama-3.1-8B| None |0.6521 | 0.5145 | 0.8144 | 0.5998 | 0.8014 | 0.7356 | 16.1 |
| | 1x16g8 | 0.5746 | 0.4454 | 0.7744 | 0.5629 | 0.7954 | 0.7024 | 4.1 |
**Note**
We used `lm-eval=0.4.0` for evaluation.
**UPD (09.08.2024)**
Uploaded new version finetuned on more data for longer with better quality.