Convert Hugging Face model repo to Safetensors
Calculate GPU requirements for running LLMs
Compare and rank LLMs using benchmark scores
Evaluate LLM over-refusal rates with OR-Bench
Benchmark LLMs in accuracy and translation across languages
Evaluate adversarial robustness using generative models
Benchmark AI models by comparison
Browse and submit model evaluations in LLM benchmarks
Demo of the new, massively multilingual leaderboard
Explore and benchmark visual document retrieval models
Merge Lora adapters with a base model
Upload a machine learning model to Hugging Face Hub
View RL Benchmark Reports
This tool is designed to convert Hugging Face (HF) model repositories into a single safetensors file formatted for compatibility with SDXL, SD 1.5, or LoRA models. It simplifies the process of managing and deploying these models by consolidating them into an efficient, lightweight format. The tool is particularly useful for users looking to streamline their workflow and optimize model performance.
safetensors and transformers.Note: Edit the configuration file to include multiple models if you need to batch process several repositories.
What models are supported by this conversion tool?
This tool is specifically designed for SDXL, SD 1.5, and LoRA models. It ensures compatibility with these architectures by formatting the safetensors file appropriately.
Can I use this tool for models not based on SDXL or LoRA?
No, this tool is optimized for SDXL, SD 1.5, and LoRA models. Using it with other architectures may result in compatibility issues or errors.
How do I avoid data loss during conversion?
The conversion process is designed to preserve model integrity. However, always backup your original repository before running the tool to ensure data safety.