Fine-tune models on your dataUse Tracto to fine-tune-models-on-your-data leading open source models like DeepSeek, Llama, or Flux

Start building

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

Prepare your dataset

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

Deploy Fine-Tuned Model

Infer your model at scale

Download fine tuned model weights

Infrastructure

Access GPU infra from Python code

Choose from pre-built Docker images or bring your own image

Run multi GPU fine-tuning jobs with a few lines of code

Try it on TractoAI

Run multi-node Llama 3.x inference at scale with vLLM

Prepare data and fine tune Llama 3.x with Hugging Face SFT trainer

Teams choosing to build with TractoAI