metadata
base_model: []
library_name: transformers
license: other
license_name: llama-3
license_link: https://llama.meta.com/llama3/license/
thumbnail: >-
https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/aJJxKus1wP5N-euvHEUq7.png
This is the first version of upscaling llama-3. Version 2 is now out and does not have any of the issues that this version has. Please use version 2 instead. Linked bellow:
Llama-3-13B
Thank you to Meta for the weights for Meta-Llama-3-8B
This is an upscaling of the Llama-3-8B Ai using techniques created for Mistral-Evolved-11b-v0.1. This Ai model has been upscaled from 8b parameters to 13b parameters without any continuous pretraining or fine-tuning.
From testing, the model seems to function perfectly at fp16, but has some issues at 4-bit quantization using bitsandbytes.
The model that was used to create this one is linked below:
https://huggingface.co/meta-llama/Meta-Llama-3-8B
- Llama-3-13B
| Metric | Value |
|---|---|
| Avg. | 54.61 |
| AI2 Reasoning Challenge (25-Shot) | 52.99 |
| HellaSwag (10-Shot) | 80.66 |
| MMLU (5-Shot) | 62.12 |
| TruthfulQA (0-shot) | 39.28 |
| Winogrande (5-shot) | 70.72 |
| GSM8k (5-shot) | 21.91 |
- Original Meta-Llama-3-8B
| Metric | Value |
|---|---|
| Avg. | 62.87 |
| AI2 Reasoning Challenge (25-Shot) | 59.47 |
| HellaSwag (10-Shot) | 82.09 |
| MMLU (5-Shot) | 66.69 |
| TruthfulQA (0-shot) | 43.90 |
| Winogrande (5-shot) | 77.35 |
| GSM8k (5-shot) | 45.34 |