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Unsloth

2x faster LLM fine-tuning

Fine-tuning Free (OSS)
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What It Is

Unsloth uses custom CUDA kernels to achieve 2-5x faster fine-tuning with 60% less VRAM compared to vanilla PEFT. Supports Llama, Mistral, Qwen, Gemma, DeepSeek, and most popular open-weight architectures.

Strengths & Weaknesses

✓ Strengths

  • Much faster than vanilla PEFT
  • 60% less VRAM
  • Good notebooks
  • Active development

× Weaknesses

  • Limited to supported architectures
  • CUDA-only
  • Learning curve

Best Use Cases

Cost-efficient fine-tuningResearch experimentsLoRA training

Alternatives

Axolotl
Community fine-tuning framework
→
HuggingFace TRL
Transformer RL library
→
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