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## gemma-coder-7b

This repository contains a fine-tuned version of the Gemma model, which is part of the GemMoE (Gemma Mixture of Experts) family of models. For more information about GemMoE, please refer to the official documentation [https://huggingface.co/Crystalcareai/GemMoE-Beta-1].

## Model Details

- **Dataset**: This model was fine-tuned on 3 epochs of the Vezora/Tested-143k-Python-Alpaca dataset.
- **Architecture**: The fine-tuned model inherits the lean and efficient architecture of the base Gemma model, making it suitable for a wide range of applications with limited computational resources.

## Usage

You can use this fine-tuned model like any other HuggingFace model. Simply load it using the `from_pretrained` method:


from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("huggingface-Crystalcareai/gemma-coder")
tokenizer = AutoTokenizer.from_pretrained("huggingface-Crystalcareai/gemma-coder")