[Bug] Unsloth installer does not recognize ROCm 7.14 and installs PyTorch 2.11 with ROCm 7.2.

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name: Unsloth Studio Bug about: Report a problem with the Unsloth Studio desktop app or web UI title: "[Unsloth Bug] Training fails always; using wrong ROCm" labels: bug assignees: ""

Environment

Where are you using Unsloth?

• Unsloth desktop application
• Unsloth web UI (unsloth studio)
• Unsloth CLI
• Python package or notebook
• Colab or Kaggle

Operating system and version:

Ubuntu 24.04.4 LTS

GPU model(s) and accelerator backend:

2x AMD AI Pro 9700 (gfx1201)

Versions:

Unsloth Unsloth Version v0.1.807-beta Package Version 2026.9.3 llama.cpp Version b10840-mix-d5c17a0

What happened?

Steps to reproduce:

1. Install Ubuntu 24.04 and install ROCm 7.14
2. curl -fsSL https://unsloth.ai/install.sh | sh
3. Try training any model.

Expected behavior:

Unsloth installer recognizes ROCm version 7.14 and installs correct PyTorch 2.14 for AMD.

Actual behavior:

Unsloth installer installs PyTorch with ROCm 7.2. This leads in unstable behavior where fine tuning a model always fails.

Model and operation involved:

Diagnostics and logs

Desktop application

Click Copy Diagnostics on the error, startup, or update screen and paste the result below:

PASTE COPY DIAGNOSTICS HERE

If Copy Diagnostics is unavailable, attach the newest relevant files from:

• Windows: %USERPROFILE%\.unsloth\studio\
• Linux/macOS: ~/.unsloth/studio/

Useful files include:

• tauri.log and, if relevant, tauri.log.1
• logs/install-*.log, logs/update-*.log, logs/repair-*.log, or logs/backend-*.log
• The newest logs/server/server-*.log

Unsloth web UI

Attach the newest relevant items:

• Linux/macOS/Windows: ~/.unsloth/studio/logs/server/server-*.log (use %USERPROFILE%\.unsloth\studio\logs\server\ on Windows)
• Linux/macOS shortcut launches only: ~/.local/share/unsloth/studio.log
• Terminal output if Unsloth was launched from a terminal
• Browser Console errors for browser-only problems

If you configured UNSLOTH_STUDIO_HOME or STUDIO_HOME, look under <CUSTOM_STUDIO_HOME>/logs/ instead.

Model-specific logs, if applicable

• GGUF/llama.cpp: newest ~/.unsloth/studio/logs/llama-server/*.log
• Diffusion GGUF: newest ~/.unsloth/studio/logs/diffusion-server/*.log
• Training resume/checkpoint bug: relevant trainer_state.json

Python package or notebook, if applicable

Paste the complete traceback and minimal reproduction:

# Remove all tokens and private data.

Also include Python, Unsloth, unsloth_zoo, PyTorch, Transformers, and TRL versions, plus nvidia-smi output when applicable.

Additional context