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README.md

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+---
+language:
+- en
+- de
+- fr
+- it
+- pt
+- hi
+- es
+- th
+library_name: transformers
+pipeline_tag: text-generation
+license: llama3.2
+base_model: NousResearch/Llama-3.2-1B
+tags:
+- generated_from_trainer
+- facebook
+- meta
+- pytorch
+- llama
+- llama-3
+model-index:
+- name: llama3.2-1b-synthia-i
+  results: []
+---
+
+# Llama 3.2 1B - Synthia-v1.5-I - Redmond -  Fine-tuned Model
+
+This model is a fine-tuned version of [NousResearch/Llama-3.2-1B](https://huggingface.co/NousResearch/Llama-3.2-1B) on the [Synthia-v1.5-I](https://huggingface.co/datasets/migtissera/Synthia-v1.5-I) dataset.
+
+Thanks [RedmondAI](https://redmond.ai) for all the GPU Support!
+
+## Model Description
+
+The base model is Llama 3.2 1B, a multilingual large language model developed by Meta. This version has been fine-tuned on the Synthia-v1.5-I instruction dataset to improve its instruction-following capabilities.
+
+### Training Data
+
+The model was fine-tuned on Synthia-v1.5-I, which contains:
+- 20.7k training examples
+
+
+### Training Procedure
+
+The model was trained with the following hyperparameters:
+- Learning rate: 2e-05
+- Train batch size: 1
+- Eval batch size: 1
+- Seed: 42
+- Gradient accumulation steps: 8
+- Total train batch size: 8
+- Optimizer: Paged AdamW 8bit (betas=(0.9,0.999), epsilon=1e-08)
+- LR scheduler: Cosine with 100 warmup steps
+- Number of epochs: 3
+
+### Framework Versions
+- Transformers 4.46.1
+- Pytorch 2.3.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.3
+
+## Intended Use
+
+This model is intended for:
+- Instruction following tasks
+- Conversational AI applications
+- Research and development in natural language processing
+
+## Training Infrastructure
+
+The model was trained using the Axolotl framework version 0.5.0.
+
+
+## License
+
+This model is subject to the Llama 3.2 Community License Agreement. Users must comply with all terms and conditions specified in the license.
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)