rahul7star/gemma-12b-finetune-merged
The rahul7star/gemma-12b-finetune-merged is a 12 billion parameter language model developed by rahul7star, fine-tuned specifically on the ohamlab dataset. This model is a merged version from a Lora fine-tune of the Gemma architecture. It is intended as a proof-of-concept for the ohamlab dataset, demonstrating specialized performance for tasks related to its training data.
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Model Overview
This model, rahul7star/gemma-12b-finetune-merged, is a 12 billion parameter language model developed by rahul7star. It is a merged model derived from a Lora fine-tuning of the Gemma architecture, specifically trained on the rahul7star/rahul-dataset which is referred to as the ohamlab dataset. The model was trained using the TRL framework.
Key Characteristics
- Architecture: Based on the Gemma model family.
- Parameters: 12 billion parameters.
- Training Data: Fine-tuned exclusively on the ohamlab dataset (
rahul7star/rahul-dataset). - Purpose: Developed as a proof-of-concept for the ohamlab dataset.
Intended Use
This model is specifically generated for the ohamlab dataset and is intended for use cases directly related to this dataset. A demo is available at Hugging Face Spaces, where users can select the "rahul gemma12b fable5 v2" model from the dropdown to interact with it. Users should be aware that its utility is primarily confined to the domain of its training data.