Model Fine-Tuning
OfficialFine-tune models on 0G GPUs with CLI ease
AuthorVocaid
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill removes the manual coordination of CLI workflows needed to fine-tune models on the 0G distributed GPU testnet, ensuring datasets, funding, and provider handshakes all happen in the right order.
Core Features & Use Cases
- Provider and model discovery: Confirm available providers, supported models, and provider readiness before uploading data.
- Complete fine-tuning orchestration: Upload datasets, calculate sizes for pricing, transfer funds, create tasks, monitor status transitions, and download encrypted models when Delivered.
- Secure delivery workflow: Acknowledge providers, wait for Delivered and Finished statuses, and decrypt results without initiating refunds or using the mainnet.
Quick Start
Request a fine-tuning run by supplying the dataset path, config file, provider address, and required funding amount.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Model Fine-Tuning Download link: https://github.com/Vocaid/vocaid-hub/archive/main.zip#model-fine-tuning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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