Individual skill
colab-finetuning
Fine-tune LLMs on Google Colab GPUs directly from openscience. Connects to Colab runtimes via WebSocket bridge for remote training with Unsloth. Supports SFT, GRPO, DPO, vision, and TTS workflows on free T4 to Pro A100 GPUs.
backend/cli/skills/ml-training/colab-finetuning/SKILL.md
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- Last checked
- Nov 2, 2026
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- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
- research Repository topic
- science Repository topic
- ai-agent Repository topic
- fine-tuning Declared skill tag
- google-colab Declared skill tag
- gpu Declared skill tag
- remote-training Declared skill tag
- unsloth Declared skill tag
- lora Declared skill tag
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- cloud-gpu Declared skill tag
- engineering Derived category
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SKILL.mdcore · 5,542 bytesreferences/bridge-setup.mddoc · 2,144 bytesreferences/gpu-tiers.mddoc · 1,676 bytesreferences/troubleshooting.mddoc · 2,921 bytes
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# Google Colab Fine-Tuning
Fine-tune LLMs using Google Colab GPUs directly from the openscience CLI. Connect to free or paid Colab runtimes and run Unsloth training workflows remotely.
## When to Use Colab Fine-Tuning
**Use Colab when:**
- You don't have a local GPU but need to fine-tune a model
- You want free GPU access (T4 with 15GB VRAM on Colab Free)
- Training models up to ~14B parameters (4-bit QLoRA)
- Quick experiments and prototyping before scaling to cloud
- Colab Pro/Pro+ for A100 (40-80GB) access
**Don't use Colab when:**