torchtune
PyTorch-native fine-tuning library from Meta, no longer actively maintained (development wound down in 2025)
torchtune is a PyTorch-native fine-tuning library by Meta. It supports full fine-tuning, LoRA, and QLoRA with memory-efficient training that works on consumer GPUs (24GB VRAM). Covers Llama, Mistral, Gemma, Phi, and Qwen model families. Includes recipes for SFT, DPO, and knowledge distillation with built-in evaluation.
Pricing: Free
Choosing a fine-tuning platform right now?
One click, anonymous. Helps us know our visitors.
Thanks, that helps.
Choosing a fine-tuning platform right now?
One click, anonymous. Helps us know our visitors.
Thanks, that helps.
torchtune Alternatives
Explore 21 products in the Fine-tuning category. View all torchtune alternatives.
LLaMA-Factory
Open-source fine-tuning framework for 100+ LLMs with a web UI
Axolotl
Open-source toolkit for fine-tuning LLMs with a single YAML config across the full training pipeline
Ludwig
Declarative deep learning framework for building and fine-tuning models with YAML configuration
OVHcloud AI
European cloud provider with AI inference, training, and deployment services
Amazon Bedrock
Managed API access to foundation models on AWS with built-in fine-tuning and agent tooling
Work on torchtune? Feature it at the top of Fine-tuning.
Is your product missing?