ahmet-erman/ahmetunsloth-gemma-3-12b-it-turkish-culture-epoch_1
The ahmet-erman/ahmetunsloth-gemma-3-12b-it-turkish-culture-epoch_1 is a 12 billion parameter Gemma 3 instruction-tuned model developed by ahmet-erman. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is specifically optimized for tasks related to Turkish culture, leveraging its efficient fine-tuning process.
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Model Overview
The ahmet-erman/ahmetunsloth-gemma-3-12b-it-turkish-culture-epoch_1 is a 12 billion parameter instruction-tuned model based on the Gemma 3 architecture. Developed by ahmet-erman, this model was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library, which significantly accelerated the training process by a factor of two.
Key Characteristics
- Base Model: Gemma 3 (12B parameters)
- Fine-tuning: Instruction-tuned using Unsloth and Huggingface TRL.
- Efficiency: Achieved 2x faster training due to Unsloth's optimizations.
- Context Length: Supports a context length of 32768 tokens.
Primary Focus
This model is specifically designed and fine-tuned for applications and tasks centered around Turkish culture. Its instruction-tuned nature makes it suitable for generating responses and understanding queries within this domain. Developers looking for a performant and efficiently trained model with a focus on Turkish cultural contexts will find this model particularly useful.