Model Overview

AliMertTemizsoy/bilsem-gemma-3-12b-vizpuzzles-sft-001 is a 12 billion parameter language model developed by AliMertTemizsoy. It is a fine-tuned variant of the unsloth/gemma-3-12b-it base model, leveraging the Unsloth library and Huggingface's TRL for efficient training.

Key Characteristics

• Base Model: Fine-tuned from unsloth/gemma-3-12b-it.
• Parameter Count: 12 billion parameters.
• Training Efficiency: Utilizes Unsloth and Huggingface's TRL library, enabling a 2x faster fine-tuning process.
• Developer: AliMertTemizsoy.
• License: Released under the Apache-2.0 license.

Potential Use Cases

This model is suitable for applications that can benefit from a Gemma 3-12B model fine-tuned with a focus on training efficiency. Developers looking for a performant 12B model with a specific fine-tuning approach may find this model particularly useful.