Akoma-medgemma-finetuning/Akomah-finetune-classification-better6
VISIONPricing:Input $0.2 / Output $0.4Concurrent Unit Cost:1Model Size:4.3BQuant:BF16Context Size:32kPublished:Nov 29, 2025License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Akomah-finetune-classification-better6 is a 4.3 billion parameter Gemma3 model developed by Akoma-medgemma-finetuning. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for classification tasks, leveraging its Gemma3 architecture for efficient performance.
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Model Overview
Akomah-finetune-classification-better6 is a 4.3 billion parameter Gemma3 model developed by Akoma-medgemma-finetuning. It was fine-tuned from the unsloth/medgemma-4b-it-unsloth-bnb-4bit base model. A key aspect of its development is the utilization of Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Key Capabilities
- Efficient Fine-tuning: Leverages Unsloth for accelerated training.
- Gemma3 Architecture: Built upon the Gemma3 model family, providing a robust foundation.
- Classification Tasks: Optimized for various classification applications.
Good For
- Developers seeking a Gemma3-based model for classification.
- Use cases requiring efficient and faster fine-tuning processes.
- Applications benefiting from a 4.3 billion parameter model with a 32768 token context length.