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unsloth-finetuning - Fine-tune LLMs with Unsloth

Fine-tune LLMs with Unsloth using 4-bit quantization and LoRA

Tags

Updated: 2026-03-26

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • load 4-bit quantized models
  • configure LoRA parameters
  • train on datasets
  • export models to GGUF
  • export models to Hugging Face
  • export models to vLLM
  • export models to Ollama
  • monitor training progress
  • enable gradient checkpointing
  • adjust batch size
  • set learning rate

Inputs

  • training dataset
  • pre-trained model
  • GPU with CUDA
  • Hugging Face token

Outputs

  • fine-tuned model
  • training logs
  • exported model files
  • checkpoints

Requirements

  • Python 3.10-3.12
  • NVIDIA GPU
  • CUDA 11.8 or 12.1+
  • PyTorch 2.0+
  • Transformers 4.37+

Source

  • Spec: SKILL.md

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LLM
fine-tuning
4-bit quantization
LoRA
QLoRA
Hugging Face
GPU
vLLM
GGUF
Ollama
load 4-bit quantized models
configure LoRA parameters
train on datasets
export models to GGUF
training dataset
pre-trained model
GPU with CUDA
fine-tuned model
training logs
exported model files