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Announced 2026-07-20 by @UnslothAI, Unsloth for AMD…

2026-07-20 · 14:11 UTC ·@UnslothAI ·1 min read

Brief

Unsloth for AMD (announced 2026-07-20 by @UnslothAI) enables training and running 500+ LLMs on AMD GPUs (Radeon, Instinct, Ryzen, data‑center) across Windows/WSL/Linux. It claims up to 2× speedups and 70% VRAM reduction with no accuracy loss via custom Triton kernels and math algorithms, supports ROCm builds for GGUF/Safetensors, and connects local models to Claude Code, Codex and multiple model families.

Why it matters

Announced 2026-07-20 by @UnslothAI, Unsloth for AMD (github.com/unslothai/unsloth) enables training and running 500+ models on AMD GPUs (Radeon, Instinct, Ryzen, and data-center) across Windows, WSL, and Linux.

Key details

  • Unsloth claims up to 2× faster performance and 70% less VRAM with no accuracy loss using custom Triton kernels and math algorithms, and provides optimized ROCm builds for GGUF and Safetensors inference.
  • Unsloth is an open-source local UI with tool-call healing, code execution, secure web search, remote APIs and HTTPS deployment; it connects local models to Claude Code and Codex agents and can train/run models including Qwen and Gemma on as little as 3GB VRAM (also supports Qwen3.6, Gemma 4, Kimi, GLM, DeepSeek).
Source evidence

Introducing Unsloth for AMD 🚀
You can now train & run LLMs on your AMD hardware

• We collaborated with AMD to enable you to train & run 500+ models on AMD GPUs
• Works on Windows, WSL, Linux
• Train Qwen, Gemma on 3GB VRAM

GitHub: github.com/unslothai/unsloth

Works on Radeon, Instinct, Ryzen and data center GPUs with up to 2× faster with 70% less VRAM and no accuracy loss via our custom Triton kernels and math algorithms. We also support optimized ROCm builds for GGUF & Safetensors inference.

Unsloth is an open-source local UI for faster LLM training and inference, with tool-call healing, code execution, secure web search, remote APIs, and HTTPS deployment. Connect local models to Claude Code, Codex agents and run the latest Kimi, GLM, DeepSeek, Qwen3.6, and Gemma 4 models.

🔗Blog + Guide: unsloth.ai/docs/basics/amd