Shome/croguana-RC2
Shome/croguana-RC2 is a 7 billion parameter experimental research model, fine-tuned from gordicaleksa/YugoGPT, specifically designed for testing Croatian language processing (NLP). Developed by Shome, this model utilizes a context size of 8192 tokens during training and is optimized for chat mode interactions. It is intended for non-commercial, research purposes only, with strict disclaimers against critical applications due to its experimental nature.
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Overview
Shome/croguana-RC2 is an experimental 7 billion parameter language model, fine-tuned by Shome from the gordicaleksa/YugoGPT base model. It is primarily developed for research and testing of Croatian language processing (NLP). The model was trained with a context size of 8192 tokens and optimized for chat mode interactions, utilizing a specific prompt template for user and AI assistant turns.
Key Characteristics
- Croatian Language Focus: Specifically designed and fine-tuned for processing the Croatian language.
- Experimental Status: Classified as an experimental research project, not intended for production use.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training.
- Chat Mode Optimization: Configured for conversational interactions with a defined prompt structure.
Important Disclaimers
- Non-Commercial Use: Strictly for research; commercial use without additional safety checks is prohibited.
- Critical Application Ban: Explicitly forbidden for use in systems that could endanger life, health, or property (e.g., medical, legal, automated decision-making).
- Potential for Hallucinations: The model may generate inaccurate, biased, or unsafe information, and accuracy is not guaranteed.
- User Responsibility: Users integrating the model into other systems assume full responsibility for compliance with AI regulations and local laws.