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One-Stop Gemma Model Fine-tuning, Quantization & Conversion
Victor is a fine-tuning tool designed to streamline the process of adapting AI models to specific tasks. It is particularly focused on fine-tuning TinyLlama models, enabling users to optimize performance for their unique needs. With Victor, users can easily customize their AI models to achieve better results for targeted applications.
• Customizable Fine-Tuning: Tailor TinyLlama models to your specific requirements. • User-Friendly Interface: Simplified process for non-technical users. • Efficient Performance: Optimized for quick and effective fine-tuning. • Integration Support: Compatible with various AI workflows and environments.
What models does Victor support?
Victor is specifically designed to work with TinyLlama models, making it a great choice for users looking to fine-tune these architectures.
Can I use my own dataset for fine-tuning?
Yes, Victor allows you to use your own dataset to customize the model to your specific needs.
Where are the fine-tuned models stored?
Fine-tuned models can be stored locally or in the cloud, depending on your preference and setup.