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207 tools · 25 stacks

AI tools are all over the place. This is the full landscape — 207 tools across 17 categories, mapped and connected. Ready to narrow it down? Build your stack →

Team size

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What are you building and how is it defined?
How do you write and ship code?
How does your AI think and act?
Which models and infrastructure power it?
How do you build, observe, and extend it?
These tools competes with
Torchtune
vs
Unsloth

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

Choose Unsloth when…

  • •You want the fastest OSS LoRA fine-tuning with minimal GPU memory
  • •You're fine-tuning Llama, Mistral, or Gemma models
  • •Memory constraints are the bottleneck in your training setup
Field
Torchtune
Unsloth
Category
Fine-tuning
Fine-tuning
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
Pro: $29/mo
Stars
⭐ 5,200
⭐ 32,000
Health
—
—
Trajectory
— not enough data
— not enough data

Torchtune

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.

Unsloth

Dramatically speeds up LoRA and QLoRA fine-tuning by rewriting GPU kernels. Compatible with HuggingFace and works with Llama, Mistral, Gemma, and more. No accuracy loss.

Torchtune Website ↗GitHub ↗
Unsloth Website ↗GitHub ↗

Shared Connections (1)

vLLM

Only Torchtune (1)

Unsloth

Only Unsloth (4)

AxolotlLlamaFactoryTorchtunePredibase
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