bjoxiah/gemma-4-recipe-ft-model
The bjoxiah/gemma-4-recipe-ft-model is a 12 billion parameter instruction-tuned causal language model, finetuned by bjoxiah from unsloth/gemma-4-12b-it. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging the Gemma 4 architecture.
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Model Overview
The bjoxiah/gemma-4-recipe-ft-model is a 12 billion parameter instruction-tuned language model developed by bjoxiah. It is finetuned from the unsloth/gemma-4-12b-it base model, leveraging the Gemma 4 architecture. A key aspect of its development is the use of Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.
Key Characteristics
- Architecture: Based on the Gemma 4 model family.
- Parameter Count: 12 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Benefited from Unsloth's optimizations, resulting in significantly faster finetuning.
- Context Length: Supports a context length of 32768 tokens.
Intended Use Cases
This model is suitable for a variety of general-purpose language generation and understanding tasks, particularly those that benefit from instruction-following capabilities. Its efficient training process suggests it could be a good candidate for applications where rapid iteration or deployment of finetuned models is crucial.