# Unsloth

> Wiki for Unsloth — fast, memory-efficient LLM fine-tuning: LoRA/QLoRA, datasets & chat templates, hyperparameters, reinforcement learning (GRPO), saving/exporting (GGUF/Ollama), inference & deployment (vLLM/LM Studio), Unsloth Studio, and the model catalog.
> Covers: Unsloth LLM fine-tuning: when to fine-tune (vs RAG), installation/requirements, datasets & chat templates, LoRA/QLoRA & hyperparameters, reinforcement learning (GRPO/GSPO, reward design), saving/exporting (GGUF incl. Dynamic 2.0, Ollama, merged weights), inference & deployment (in-framework, vLLM, LM Studio, llama.cpp), Unsloth Studio, the FastLanguageModel API, and the model/notebook catalog.
> Not covered: Per-model VRAM/quant/template specifics (catalogued — read the per-model guide), exact current API signatures, and frequent post-date releases — verify against docs.unsloth.ai.
> Current as of: 2026-06-19

- [LLM Wiki](/raw/unsloth/README.md)
- [Knowledge Base Index](/raw/unsloth/wiki/index.md)
- [Datasets & Chat Templates](/raw/unsloth/wiki/concepts/datasets.md)
- [Fine-tuning Basics: Is It Right for You?](/raw/unsloth/wiki/concepts/fine-tuning-basics.md)
- [Inference & Deployment](/raw/unsloth/wiki/concepts/inference-and-deployment.md)
- [Installation & Requirements](/raw/unsloth/wiki/concepts/installation.md)
- [LoRA, QLoRA & Hyperparameters](/raw/unsloth/wiki/concepts/lora-and-hyperparameters.md)
- [Reinforcement Learning (GRPO)](/raw/unsloth/wiki/concepts/reinforcement-learning.md)
- [Saving & Exporting Models](/raw/unsloth/wiki/concepts/saving-and-exporting.md)
- [Unsloth Studio](/raw/unsloth/wiki/concepts/unsloth-studio.md)
- [What is Unsloth](/raw/unsloth/wiki/concepts/what-is-unsloth.md)
- [The unsloth Library (FastLanguageModel)](/raw/unsloth/wiki/entities/unsloth-library.md)
- [Activity Log](/raw/unsloth/wiki/log.md)
- [Docs Catalog](/raw/unsloth/wiki/summaries/docs-catalog.md)
- [Model Catalog & Notebooks](/raw/unsloth/wiki/summaries/model-catalog-and-notebooks.md)
- [End-to-End: Fine-tune to Deployment](/raw/unsloth/wiki/syntheses/end-to-end-fine-tune.md)