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")