alibayram/doktor-gemma3-12b-vision3
VISIONConcurrency Cost:1Model Size:12BQuant:FP8Ctx Length:32kLicense:apache-2.0Architecture:Transformer0.0K Open Weights Warm
The alibayram/doktor-gemma3-12b-vision3 is a 12 billion parameter Gemma 3 model, finetuned by alibayram. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology.
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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.