RoversX/StableBeluga-7B-Qlora-Samantha-Zh-V1
RoversX/StableBeluga-7B-Qlora-Samantha-Zh-V1 is a 7 billion parameter conversational AI assistant based on Stability AI's StableBeluga-7B. It is fine-tuned using QLoRA on the Samantha-1.1-zh dataset, specializing in Chinese conversational interactions. This model is designed for generating assistant-like responses in Chinese, leveraging its 4096-token context length.
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Model Overview
RoversX/StableBeluga-7B-Qlora-Samantha-Zh-V1 is a 7 billion parameter conversational AI assistant. It is built upon the robust foundation of Stability AI's StableBeluga-7B and has been further fine-tuned using the QLoRA method. The training specifically utilized the Samantha-1.1-zh dataset, which focuses on Chinese language interactions.
Key Capabilities
- Chinese Conversational AI: Optimized for generating assistant-like responses in Chinese.
- Base Model: Leverages the capabilities of StableBeluga-7B, a strong base for instruction-following tasks.
- Context Length: Supports a context window of 4096 tokens, allowing for more extensive conversations.
Usage
This model requires a specific prompt format for optimal performance:
### System:
This is a system prompt, please behave and help the user.
### User:
Your prompt here
### Assistant:
The output of Stable Beluga 7BGood For
- Developing Chinese-language chatbots or virtual assistants.
- Applications requiring conversational AI with a focus on the Chinese language.
- Research and development in multilingual LLMs, particularly for Chinese dialogues.