metadata
library_name: transformers
tags:
- aqlm
- llama
- facebook
- meta
- llama-3
- conversational
- text-generation-inference
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
Official AQLM quantization of meta-llama/Meta-Llama-3.1-8B-Instruct finetuned with PV-Tuning.
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-Instruct | None | 0.6817 | 0.5162 | 0.8186 | 0.5909 | 0.8014 | 0.7364 | 16.1 |
| 1x16g8 | 0.5966 | 0.4667 | 0.7790 | 0.5582 | 0.7878 | 0.7001 | 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.