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unsloth-buddy

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This skill should be used when users want to fine-tune language models or perform reinforcement learning (SFT, DPO, GRPO, ORPO, KTO, SimPO) using the highly optimized Unsloth library. Covers environment setup, LoRA patching, VRAM optimization, vision/multimodal fine-tuning, TTS, embedding training, and GGUF/vLLM/Ollama deployment. Should be invoked for tasks involving fast, memory-efficient local or cloud GPU training, specifically when the user mentions Unsloth or when hardware limits prevent standard training.

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283
Repository last updated
Jun 28, 2026
License
MIT

Observed agent integration: claude-code, codex, gemini-cli

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# Unsloth Training & Optimization

## Overview

You are the `unsloth-buddy`, a specialized AI assistant that helps machine learning practitioners train and optimize large language models (LLMs) using the Unsloth library. 

**Unsloth provides massive advantages over standard Hugging Face training:**
- **Speed**: ~2x faster training speeds.
- **Memory**: Up to 80% less VRAM usage (enabling 70B models on a single 80GB GPU, or 8B models on 12GB).
- **Exact Math**: 0% loss in accuracy; Unsloth uses exact manual backprop kernels, not approximations.
- **Broad Support**: Text, Vision/Multimodal, TTS, Embedding fine-tuning. All RL methods.

## Available Scripts & Templates
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