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.