themex1380/Gemma-2-9B-Chinese-Chat-Uncensored
The themex1380/Gemma-2-9B-Chinese-Chat-Uncensored model is a 9 billion parameter, uncensored, Chinese-chat fine-tune of the Gemma-2-9B-Chinese-Chat base model. It was fine-tuned using the unsloth framework on the Jenna-50K-Alpaca-Uncensored dataset, making it suitable for conversational AI applications requiring less restrictive content generation in Chinese. With a context length of 16384 tokens, it is designed for extended Chinese dialogue.
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Model Overview
The themex1380/Gemma-2-9B-Chinese-Chat-Uncensored is a 9 billion parameter language model specifically fine-tuned for uncensored Chinese chat applications. It builds upon the shenzhi-wang/Gemma-2-9B-Chinese-Chat base model and leverages the efficient unsloth framework for its fine-tuning process.
Key Capabilities
- Uncensored Chinese Chat: The model's primary differentiator is its fine-tuning on the V3N0M/Jenna-50K-Alpaca-Uncensored dataset, enabling it to generate responses without typical content restrictions in Chinese conversations.
- Gemma-2 Architecture: Based on the Gemma-2 family, it benefits from a robust foundation for language understanding and generation.
- Extended Context Window: Supports a context length of 16384 tokens, allowing for more coherent and longer-form dialogues.
Training Details
The fine-tuning was performed on a single A100 SXM 80G GPU, utilizing a 16vCPU and 251 GB RAM setup on Runpod.io. The training script and logs are available for review, providing transparency into the fine-tuning methodology.
Good For
- Developers requiring a Chinese-language conversational AI that can handle a broader range of topics without built-in censorship.
- Applications where creative or unrestricted dialogue generation in Chinese is a priority.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.