ahmet-erman/gemma-3-12b-it-turkish-culture-veri_2-full_epoch
VISIONConcurrency Cost:1Model Size:12BQuant:FP8Ctx Length:32kPublished:May 24, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The ahmet-erman/gemma-3-12b-it-turkish-culture-veri_2-full_epoch is a 12 billion parameter Gemma 3 instruction-tuned language model developed by ahmet-erman. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is specifically optimized for tasks related to Turkish culture, leveraging its fine-tuning on relevant datasets.
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Model Overview
The ahmet-erman/gemma-3-12b-it-turkish-culture-veri_2-full_epoch is an instruction-tuned language model based on the Gemma 3 architecture, featuring 12 billion parameters. Developed by ahmet-erman, this model was fine-tuned from unsloth/gemma-3-12b-it-unsloth-bnb-4bit.
Key Capabilities
- Efficient Fine-tuning: The model was trained significantly faster using Unsloth and Huggingface's TRL library, indicating an optimized training process.
- Instruction-Tuned: As an instruction-tuned model, it is designed to follow prompts and perform tasks as directed.
- Turkish Culture Focus: The model's name suggests a specialization in Turkish culture, implying its training data included relevant "veri" (data) to enhance its understanding and generation capabilities in this domain.
Good For
- Applications requiring a Gemma 3-based model with 12 billion parameters.
- Tasks and research focused on Turkish cultural contexts and language understanding.
- Developers looking for a model fine-tuned with efficient methods like Unsloth.