Introducing Unsloth Studio: a new web UI for local AI
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    • 🦥Homepage
    • 🔮Models
    • ⭐Beginner?
    • 📒Unsloth Notebooks
    • 📥Installation
    • 🧬Fine-tuning Guide
    • 💡Reinforcement Learning
    • 🦥Introducing Unsloth Studio
    • Unsloth API endpoint
    • Unsloth Updates
    • DiffusionGemma
    • ✨Gemma 4
    • 💜Qwen3.6
    • 🪽Run MTP Models
    • MiniMax M3
    • 💜Qwen3.5
    • 🥝Kimi K2.6
    • 🧩NVIDIA Nemotron 3 Ultra
    • Complete LLM Directory
      • 🌠Qwen3
      • GLM-5.1
      • gpt-oss
      • MiniMax-M2.7
      • 💜Qwen3-Coder-Next
      • 🧩NVIDIA Nemotron 3 Omni
      • Mistral 3.5
      • 🧩NVIDIA Nemotron 3
      • IBM Granite 4.1
      • GLM-5
      • 🥝Kimi K2.5
      • GLM-4.7-Flash
      • Gemma 3
      • 🌠Qwen3-Coder
      • MiniMax-M2.5
      • 🐳DeepSeek-OCR 2
      • GLM-4.7
      • 💟Qwen-Image-2512
      • 📙Devstral 2
      • 🐱Ministral 3
      • 🐳DeepSeek-OCR
      • 🌙Kimi K2 Thinking
      • GLM-4.6
      • 🌠Qwen3-Next
      • FunctionGemma
      • 🐋DeepSeek-V3.1
      • 🐋DeepSeek-R1-0528
      • 💧Liquid LFM2.5
      • 💥Magistral
      • IBM Granite 4.0
      • 🦙Llama 4
      • Grok 2
      • 📙Devstral
      • Run Unsloth models in Docker
      • 🐳DeepSeek-V3-0324
      • 🐋DeepSeek-R1
      • Phi-4 Reasoning
      • 🌠QwQ-32B
    • Unsloth API
    • 🖥️Inference & Deployment
    • Claude Code
    • OpenAI Codex
    • MCP Server
    • Multi-GPU Training
    • 🔎Embedding Fine-tuning
    • 💎Faster MoE Training
    • 🔊Text-to-Speech Fine-tuning
    • 🦥Dynamic 2.0 GGUFs
    • Tool Calling Guide
    • 👁️Vision Fine-tuning
    • ⚠️Troubleshooting & FAQs
    • 💬Chat Templates
    • ♻️Continued Pretraining
    • Connect a Provider
    • OpenClaw
    • OpenCode
    • Hermes Agent
    • Python SDK
    • Curl & HTTP
    • VS Code
    • OpenAI Codex
    • Claude Code
    • ⚡New 3x Faster Training
    • 500K Context Training
    • Quantization-Aware Training
    • DGX Station
    • Unsloth Docker Guide
    • DGX Spark and Unsloth
    • Blackwell, RTX 50 and Unsloth
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For the complete documentation index, see llms.txt. This page is also available as Markdown.
  1. Models

Large language model (LLMs) Tutorials

Discover the latest LLMs and learn how to run and fine-tune models locally for optimal performance with Unsloth.

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DiffusionGemma

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MTP Guide

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Gemma 4 QAT

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MiniMax M3

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Qwen3.6 MTP

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Qwen3.6

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Gemma 4

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Unsloth API endpoint

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Nemotron 3 Nano Omni

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Kimi K2.6

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Qwen3.5

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Mistral 3.5

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Granite 4.1

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GLM-5.1

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MiniMax-2.7

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Unsloth Studio: Run + train LLMs

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NVIDIA-Nemotron-3

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GLM-5

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Claude Code

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OpenAI Codex

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MiniMax-2.5

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Qwen3-Coder-Next

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Kimi K2.5

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DeepSeek-OCR 2

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GLM-4.7-Flash

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Qwen-Image-2512

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Nemotron 3

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FunctionGemma

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Qwen3-VL

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DeepSeek-OCR

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Run gpt-oss

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Ministral 3

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Kimi K2 Thinking

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Vision Reinforcement Learning

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DeepSeek-V3.1 Terminus

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Qwen3 Coder

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Fine-tune gpt-oss

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Magistral 1.2

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Gemma 3n

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Qwen3-2507

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DeepSeek-R1-0528

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Kimi K2

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Devstral 2507

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Fine-tune on Blackwell & RTX 50 GPUs

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TTS Fine-tuning

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Qwen3

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Phi-4 reasoning

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Dynamic 2.0 GGUFs

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Llama 4

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DeepSeek-V3-0324

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Grok 2

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Gemma 3

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QwQ-32B

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DeepSeek-R1

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Reinforcement Learning (RL)

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Mistral Small 3.1

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Llama 3

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Vision Fine-tuning

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Continued Pretraining

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Llama 3.3

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Gemma 2

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Phi-3

PreviousNVIDIA Nemotron 3 UltraNextQwen3

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