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training.

6 listedUpdated Sep 11, 2026

  1. Rank 1. UnslothFaster LoRA fine-tuning with lower VRAM on consumer GPUs.GitHub stars: 45k
  2. Rank 2. nanoGPTKarpathy’s ~300-line GPT trainer — the cleanest way to learn LLM training.GitHub stars: 63k
  3. Rank 3. AxolotlYAML-driven fine-tuning toolkit for serious training runs.GitHub stars: 11k
  4. Rank 4. DeepSpeedMicrosoft’s Apache-2.0 ZeRO optimizer for multi-GPU, multi-node LLM training.GitHub stars: 43k
  5. Rank 5. torchtunePyTorch-native library for fine-tuning LLMs with recipes.GitHub stars: 7k
  6. Rank 6. Open-SoraApache-2.0 research stack for training and running video diffusion on 24 GB cards.GitHub stars: 30k