badagoki/gemma-12b-brain-v5
badagoki/gemma-12b-brain-v5 is a 5.1 billion parameter language model developed by badagoki, fine-tuned from unsloth/gemma-4-e2b-it-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed for general language generation tasks, leveraging its Gemma-based architecture and a 32768 token context length.
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Overview
badagoki/gemma-12b-brain-v5 is a 5.1 billion parameter language model, fine-tuned by badagoki. It is based on the Gemma architecture, specifically fine-tuned from the unsloth/gemma-4-e2b-it-unsloth-bnb-4bit model. A key aspect of its development is the utilization of Unsloth and Huggingface's TRL library, which facilitated a significantly faster training process.
Key Capabilities
- Efficient Fine-tuning: Developed with tools that enable 2x faster training compared to traditional methods.
- Gemma-based Architecture: Leverages the robust capabilities of the Gemma model family.
- Extended Context Window: Supports a context length of 32768 tokens, allowing for processing longer inputs and generating more coherent, extended outputs.
Good For
- Applications requiring a Gemma-based model with an optimized fine-tuning process.
- Tasks benefiting from a larger context window for improved understanding and generation.
- Developers looking for a model that balances performance with efficient training methodologies.