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rombos_Llama-3-11.5B-Instruct-V2
rombodawg/rombos_Llama-3-11.5B-Instruct-V2
rombos_Llama-3-11.5B-Instruct-V2 is a machine learning model from rombodawg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
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35
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Parameters
11.5B
23 GB on disk
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3
Public
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.safetensors23 GB · 100%
At a glance
- License
- other
- Model type
- llama
- Access
- Public
- Created
- Oct 6, 2024
- Updated
- Oct 6, 2024
- SHA
- 6ab2ef63
Model card
From the Hugging Face model README
Llama-3-11.5B-Instruct-v2
Thank you to Meta for the weights for Meta-Llama-3-8B-Instruct
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 |
- Type
- llama
- License
- other
- Created
- Oct 6, 2024
- Updated
- Oct 6, 2024