Torchtune
PyTorch-native LLM fine-tuning from Meta
⭐ 5,200 stars● Health 90/100 — Active· commit recency (40 pts) · star momentum (30 pts) · issue ratio (20 pts) · forks (10 pts)App 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
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Pricing
✦ Free tier available
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Recent Activity
Health ↑ 75 → 90
3 months ago
Pricing updated
4 months ago
Crossed 5,000 stars ⭐
4 months ago
Crossed 1,000 stars ⭐
4 months ago
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