ahmet-erman/cosmos-turkish-culture-veri_1-epoch_1000_v2
The ahmet-erman/cosmos-turkish-culture-veri_1-epoch_1000_v2 is a 9 billion parameter Gemma2-based causal language model developed by ahmet-erman. This model is fine-tuned from ytu-ce-cosmos/Turkish-Gemma-9b-v0.1, leveraging Unsloth and Huggingface's TRL library for accelerated training. It is specifically optimized for tasks related to Turkish culture and language, offering specialized performance in this domain.
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Model Overview
The ahmet-erman/cosmos-turkish-culture-veri_1-epoch_1000_v2 is a 9 billion parameter language model developed by ahmet-erman. It is a fine-tuned variant of the ytu-ce-cosmos/Turkish-Gemma-9b-v0.1 model, built upon the Gemma2 architecture. This model was trained with enhanced efficiency using the Unsloth library and Huggingface's TRL library, resulting in a 2x faster training process.
Key Characteristics
- Base Model: Fine-tuned from
ytu-ce-cosmos/Turkish-Gemma-9b-v0.1, which is based on the Gemma2 architecture. - Parameter Count: Features 9 billion parameters, providing substantial capacity for language understanding and generation.
- Training Efficiency: Utilizes Unsloth and Huggingface's TRL library for optimized and accelerated training.
- Context Length: Supports a context length of 16384 tokens.
Primary Use Case
This model is specifically designed and fine-tuned for applications requiring deep understanding and generation within the context of Turkish culture and language. Its specialized training makes it particularly suitable for tasks such as:
- Generating culturally relevant Turkish text.
- Understanding nuances in Turkish language and cultural expressions.
- Applications requiring high-quality Turkish language processing.