Fine-tuningOpen Source✦ Free Tier
Torchtune
PyTorch-native LLM fine-tuning from Meta
⭐ 5,200 starsApp Infrastructure
About
Meta's official fine-tuning library. Pure PyTorch — no abstraction layers. Supports LoRA, QLoRA, and full fine-tuning for Llama models. Designed for reproducibility and research.
Choose Torchtune when…
- •You want pure PyTorch with no abstraction layers over training
- •You're primarily working with Meta's Llama models
- •Reproducibility and research clarity are priorities
Builder Slot
How do you adapt models to your domain?Optional for most stacks
Fine-tuning frameworks and platforms for training custom model adaptations with LoRA, QLoRA, or full fine-tuning
Dev Tools
Not applicable
App Infra
Optional
Hybrid
Optional
Other tools in this slot:
Stack Genome Detection
AIchitect's Genome scanner detects Torchtune in your project via these signals:
pip packages
torchtuneIntegrates with (1)
Alternatives to consider (1)
Pricing
✦ Free tier available
Badge
Add to your GitHub README
[](https://aichitect.dev/tool/torchtune)Explore the full AI landscape
See how Torchtune fits into the bigger picture — browse all 207 tools and their relationships.