ahmet-erman/cosmos-turkish-culture-veri_2-epoch_1-last_step
The ahmet-erman/cosmos-turkish-culture-veri_2-epoch_1-last_step is a 9 billion parameter Gemma2 model developed by ahmet-erman, fine-tuned from ytu-ce-cosmos/Turkish-Gemma-9b-v0.1. This model was trained with Unsloth and Huggingface's TRL library, offering faster training. It is specialized for tasks related to Turkish culture, leveraging its 16384 token context length.
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Model Overview
This model, developed by ahmet-erman, is a 9 billion parameter Gemma2-based language model. It was fine-tuned from the ytu-ce-cosmos/Turkish-Gemma-9b-v0.1 model, indicating a specialization in Turkish language and cultural contexts. The training process utilized Unsloth and Huggingface's TRL library, which enabled a 2x faster fine-tuning compared to standard methods.
Key Characteristics
- Base Model: Gemma2 architecture.
- Parameter Count: 9 billion parameters.
- Context Length: Supports a context window of 16384 tokens.
- Training Efficiency: Fine-tuned using Unsloth for accelerated training.
- Language Focus: Specialized for Turkish language and cultural data.
Potential Use Cases
- Turkish Language Processing: Tasks requiring deep understanding or generation of Turkish text.
- Cultural Content Generation: Creating or analyzing content related to Turkish culture.
- Research and Development: Exploring efficient fine-tuning techniques with Unsloth on Gemma2 models.