currentfear/document_antigua_anverso_v9
The currentfear/document_antigua_anverso_v9 is a 4.3 billion parameter Gemma3 model, fine-tuned by currentfear. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. With a 32768 token context length, it is optimized for tasks benefiting from efficient fine-tuning and extended context processing.
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Model Overview
The currentfear/document_antigua_anverso_v9 is a 4.3 billion parameter language model, fine-tuned by currentfear. It is based on the Gemma3 architecture and was specifically trained using the Unsloth library in conjunction with Huggingface's TRL library. This training methodology enabled a 2x faster fine-tuning process compared to standard methods.
Key Characteristics
- Architecture: Gemma3-based model.
- Parameter Count: 4.3 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: Leverages Unsloth for accelerated fine-tuning, resulting in significantly reduced training times.
- Origin: Fine-tuned from
unsloth/gemma-3-4b-pt-unsloth-bnb-4bit.
Potential Use Cases
This model is suitable for applications requiring:
- Efficiently fine-tuned language models.
- Processing and generating text with a long context window.
- Tasks where the underlying Gemma3 architecture is beneficial.