Unsloth与AMD合作，发布AMD GPU支持，可在AMD硬件上训练和运行500+模型，速度提升2倍且显存减少70%

Unsloth AI2026/07/20 22:11当日精选

Unsloth与AMD合作，发布AMD GPU支持，可在AMD硬件上训练和运行500+模型，速度提升2倍且显存减少70%

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Unsloth AIopen_source_project2026/07/21 08:29

Unsloth AI 发布与 AMD 合作，支持在 AMD GPU 上训练和运行 500+ 模型，最低仅需 3GB VRAM，降低了微调门槛

RT 👩‍💻 Paige Bailey You can now fine-tune models on your personal laptops, and run the latest @GoogleGemma 4 models with as little as 3GB VRAM (🤯). 👇Stellar work, as …

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Unsloth AIopen_source_project2026/07/20 22:11

Unsloth与AMD合作，发布AMD GPU支持，可在AMD硬件上训练和运行500+模型，速度提升2倍且显存减少70%

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<b…

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Unsloth与AMD合作，发布AMD GPU支持，可在AMD硬件上训练和运行500+模型，速度提升2倍且显存减少70%。

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• 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: https://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: https://unsloth.ai/docs/basics/amd

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