Start fine-tuning TinyLlama
Set up and launch an application from a GitHub repo
Float16 to covert
Create powerful AI models without code
Create stunning graphic novels effortlessly with AI
Fine-tune LLMs to generate clear, concise, and natural language responses
Upload ML models to Hugging Face Hub from your browser
One-Stop Gemma Model Fine-tuning, Quantization & Conversion
Perform basic tasks like code generation, file conversion, and system diagnostics
Login to use AutoTrain for custom model training
yqqwrpifr-1
Lora finetuning guide
YoloV1 by luismidv
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.