Metin/gemma-2b-tr
TEXT GENERATIONConcurrency Cost:1Model Size:2.6BQuant:BF16Ctx Length:8kLicense:cc-by-nc-4.0Architecture:Transformer0.0K Open Weights Cold
Metin/gemma-2b-tr is a 2 billion parameter Gemma-based causal language model developed by Metin, specifically fine-tuned for Turkish text generation. This model excels at generating coherent and contextually relevant Turkish text, making it suitable for applications requiring native Turkish language output. It is optimized for Turkish language tasks and is not designed for instruction-following or question-answering.
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Overview
Metin/gemma-2b-tr is a Gemma-2B based causal language model that has been fine-tuned specifically for Turkish text generation. It leverages a QLoRA adapter for efficient training and is designed to produce high-quality Turkish language outputs.
Key Capabilities
- Turkish Text Generation: The model's primary function is to generate Turkish text, making it suitable for various content creation and language processing tasks in Turkish.
- Multilingual Support: While primarily focused on Turkish, the base model includes English language capabilities.
- Efficient Fine-tuning: Utilizes QLoRA with specific hyperparameters (1 epoch, 1024 context length, LoRA Rank 32, LoRA Alpha 32, LoRA Dropout 0.05) for effective adaptation.
Use Cases
- Turkish Content Creation: Ideal for generating articles, stories, or other textual content in Turkish.
- Language Modeling: Can be used in applications requiring predictive text or auto-completion in Turkish.
Limitations
- Not for Instruction Following: This model is explicitly stated as unsuitable for instruction-following or question-answering tasks.
- Licensing: Users must adhere to the Creative Commons Attribution Non Commercial 4.0 license and the Gemma Terms of Use from Google.