Convert Hugging Face model repo to Safetensors
Create and manage ML pipelines with ZenML Dashboard
Push a ML model to Hugging Face Hub
Benchmark LLMs in accuracy and translation across languages
Teach, test, evaluate language models with MTEB Arena
Pergel: A Unified Benchmark for Evaluating Turkish LLMs
Compare code model performance on benchmarks
Display and submit LLM benchmarks
View NSQL Scores for Models
Upload a machine learning model to Hugging Face Hub
Browse and evaluate ML tasks in MLIP Arena
Browse and submit language model benchmarks
Browse and submit LLM evaluations
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.