Choose a base model
Load pretrained models from HF or upload model weights directly
Store weights in Tracto Cypress, a high performance distributed file system optimized for managing weights of large models
Pull datasets from HF or S3
Store private datasets in Tracto Cypress
Fine-Tune
Use your favorite fine-tuning frameworks, like PyTorch, Jax, Hugging Face
Start fine-tuning with a single command with the full control over hyper parameters
Accelerate fine tuning with GPUs
Monitor results on W&B
Infer your model at scale
Download fine tuned model weights
Infrastructure
No Kubernetes, no Docker setups, no AWS headaches
Run multi GPU fine-tuning jobs with a few lines of code
