Individual skill
unsloth-fine-tuning
Fast LLM fine-tuning with Unsloth - 2-5x faster training, 50-80% less VRAM. Use for single-GPU LoRA/QLoRA SFT, GRPO/RL reasoning training, vision/TTS fine-tuning, and GGUF export to Ollama/vLLM/llama.cpp. Supports 300+ models including Llama, Qwen, Gemma, DeepSeek, Mistral, Phi, and gpt-oss.
backend/cli/skills/ml-training/unsloth/SKILL.md
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- agent Repository topic
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- fine-tuning Declared skill tag
- unsloth Declared skill tag
- lora Declared skill tag
- qlora Declared skill tag
- grpo Declared skill tag
- rl Declared skill tag
- vision Declared skill tag
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Read excerpt
# Unsloth - Fast LLM Fine-Tuning
Fine-tune LLMs 2-5x faster with 50-80% less VRAM. Supports SFT, RL (GRPO), vision, TTS, and 300+ models with zero accuracy loss.
## When to Use Unsloth
**Use Unsloth when:**
- Fine-tuning on a single GPU with LoRA/QLoRA (consumer or datacenter)
- Training reasoning models with GRPO, Dr. GRPO, DAPO, BNPO, or GSPO
- Fine-tuning vision models (Qwen3-VL, Gemma 3, Llama 3.2 Vision)
- Fine-tuning TTS models (Orpheus, Sesame-CSM, Whisper)
- Exporting to GGUF for Ollama, llama.cpp, or LM Studio
- Need padding-free training and uncontaminated packing (automatic)
- Using FP8 precision for additional memory savings on Ampere+ GPUs