Hoffman37/merge_gemma12b-toolbench
The Hoffman37/merge_gemma12b-toolbench is a 12 billion parameter language model, finetuned from unsloth/gemma-3-12b-it-bnb-4bit. Developed by Hoffman37, this model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its Gemma 3 architecture and 32768 token context length.
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Model Overview
The Hoffman37/merge_gemma12b-toolbench is a 12 billion parameter language model developed by Hoffman37. It is a finetuned variant of the unsloth/gemma-3-12b-it-bnb-4bit model, leveraging the Gemma 3 architecture. This model was specifically trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Key Characteristics
- Base Model: Finetuned from
unsloth/gemma-3-12b-it-bnb-4bit. - Parameter Count: 12 billion parameters.
- Training Efficiency: Utilizes Unsloth and Huggingface's TRL library for optimized, faster training.
- Context Length: Supports a context length of 32768 tokens.
Intended Use
This model is suitable for a broad range of general language generation and understanding tasks, benefiting from its Gemma 3 foundation and efficient training methodology. Its 12B parameter size and substantial context window make it a capable option for applications requiring robust language processing.