Unsloth adds AMD support for local inference and fine-tuning
danielhanchen · reddit · 2026-07-20
Unsloth now officially supports AMD hardware for local inference, fine-tuning, reinforcement learning, and deployment.
The release works on Windows, Linux, WSL, and technically macOS, and supports Radeon RX 9000/7000, Instinct MI350/MI300, Strix Halo / Ryzen AI Max, and AMD CPUs for GPU-free inference. The team says it can cut VRAM use by up to 70% for training and up to 80% for RL, with ROCm, Triton, bitsandbytes, PyTorch, and llama.cpp builds installed automatically.
Other highlights include exporting to GGUF/safetensors/LoRA, connecting local models to Claude Code/Codex/Hermes Agent/OpenCode, remote monitoring, secure Cloudflare tunneling, and daily AMD-optimized llama.cpp ROCm prebuilts.
Related event: Unsloth Expands AMD Support for LLM Training and Inference(3 posts)→
More from coding & agent
- Soft Clamp cuts tool-call overuse in multi-teacher distillation, from 13.7% to 9.0% — antgroup · 2026-07-21
- Agent harness memory loss and compaction are still a major usability problem — adityaag · 2026-07-21
- SpecJudge runs locally on Ollama to pick the right-sized AI model for your project — jokiruiz · 2026-07-21
- A developer maps out six design rules for CLIs that humans and AI agents can both use — yujiezha · 2026-07-21
- A coding-agent skill that forces ADHD-friendly, answer-first output — ayghri · 2026-07-21
- A set of agent skills for CAD, robotics, and hardware design — earthtojake · 2026-07-21