---
license: other
license_name: llama-3
license_link: https://llama.meta.com/llama3/license/
---

Llama-3-11.5B-Instruct-v2

Thank you to Meta for the weights for Meta-Llama-3-8B-Instruct

![image/png](https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/aJJxKus1wP5N-euvHEUq7.png)

This is an upscaling of the Meta-Llama-3-8B-Instruct Ai using techniques created for chargoddard/mistral-11b-slimorca. This Ai model has been upscaled from 8b parameters to 11.5b parameters without any continuous pretraining or fine-tuning.

Unlike version 1 this model has no issues at fp16 or any quantizations.

The model that was used to create this one is linked below:

https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
______________________________________________________________________________
- Llama-3-11.5B-Instruct-V2

|             Metric               | Value  |
|----------------------------------|-------:|
| Avg.                             | 63.91  |
| AI2 Reasoning Challenge (25-Shot)| 57.68  |
| HellaSwag (10-Shot)              | 78.59  |
| MMLU (5-Shot)                    | 67.35  |
| TruthfulQA (0-shot)              | 35.86  |
| Winogrande (5-shot)              | 74.74  |
| GSM8k (5-shot)                   | 69.37  |

- Original Meta-Llama-3-8B-Instruct

|             Metric               | Value  |
|----------------------------------|-------:|
| Avg.                             | 66.87  |
| AI2 Reasoning Challenge (25-Shot)| 60.75  |
| HellaSwag (10-Shot)              | 78.55  |
| MMLU (5-Shot)                    | 67.07  |
| TruthfulQA (0-shot)              | 51.65  |
| Winogrande (5-shot)              | 74.51  |
| GSM8k (5-shot)                   | 68.69  |