Hugging Face Overview
Model Overview
alibayram/doktor-gemma3-12b-vision3 is a 12 billion parameter language model based on the Gemma 3 architecture. Developed by alibayram, this model has been finetuned from unsloth/gemma-3-12b-it-unsloth-bnb-4bit.
Key Characteristics
- Efficient Training: The model was trained 2x faster using Unsloth and Huggingface's TRL library, indicating an optimized training process.
- Gemma 3 Base: Built upon the Gemma 3 foundation, it inherits the capabilities of this model family.
Potential Use Cases
- General Language Tasks: Suitable for a wide range of applications requiring natural language understanding and generation.
- Research and Development: Its efficient training methodology makes it a good candidate for further experimentation and finetuning on specific datasets.