---
license: apache-2.0
datasets:
- bertin-project/bonanza-hf
- bertin-project/zenobia-instruct-hf
language:
- es
- ca
pipeline_tag: text-generation
---
# Gromenauer-7B-Instruct

<div align=center>
<img alt="gromenauer-7B logo" src="https://huggingface.co/bertin-project/Gromenauer-7B/resolve/main/images/gromenauer.png" width="200px">
</div>

## Overview
Gromenauer-7B-Instruct is an instruct fine-tuned version of the [bertin-project/Gromenauer-7B](https://huggingface.co/bertin-project/Gromenauer-7B) model using the [bertin-project/bonanza-hf](https://huggingface.co/datasets/bertin-project/bonanza-hf) and [bertin-project/zenobia-instruct-hf](https://huggingface.co/datasets/bertin-project/zenobia-instruct-hf) datasets.

## Model Details

- **Model Type**: Mistral
- **Sequence Length**: 8192
- **Hidden Dimension**: 4096
- **Intermediate Dimension**: 14336
- **Number of Layers**: 32
- **Number of Attention Heads**: 32
- **Number of Key-Value Heads**: 8
- **Activation Function**: SiLU
- **Initializer Range**: 0.02
- **Layer Norm Epsilon**: 1.0e-05
- **Use Flash Attention**: Yes
- **Gradient Checkpointing**: Enabled (Block Size: 5)
- **Sliding Window Attention**: 4096
- **Use Bias**: No

## Training Details

- **Tokenizer**: [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)
- **Batch Size**: 512
- **Learning Rate**: 1e-5
- **Optimizer**: Adam with beta1=0.9, beta2=0.95, epsilon=1e-8
- **Weight Decay**: 0.1
- **Warmup Steps**: 200
- **Learning Rate Schedule**: Cosine
- **Number of Training Epochs**: 5