funsloth-local
✓Training manager for local GPU training - validate CUDA, manage GPU selection, monitor progress, handle checkpoints
Installation
SKILL.md
| 8GB | 7B, 4-bit, batch=1, LoRA r=8 | | 12GB | 7B, 4-bit, batch=2, LoRA r=16 | | 16GB | 7-13B, 4-bit, batch=2, LoRA r=16-32 | | 24GB | 7-14B, 4-bit, batch=4, LoRA r=32 |
Use the official Unsloth Docker image for a pre-configured environment (supports all GPUs including Blackwell/50-series):
Access Jupyter at http://localhost:8888. Example notebooks are in /workspace/unsloth-notebooks/.
Training manager for local GPU training - validate CUDA, manage GPU selection, monitor progress, handle checkpoints Source: chrisvoncsefalvay/funsloth.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/chrisvoncsefalvay/funsloth --skill funsloth-local- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is funsloth-local?
Training manager for local GPU training - validate CUDA, manage GPU selection, monitor progress, handle checkpoints Source: chrisvoncsefalvay/funsloth.
How do I install funsloth-local?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/chrisvoncsefalvay/funsloth --skill funsloth-local Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/chrisvoncsefalvay/funsloth
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01