hf-layer-package-jobs

Automate planning, validation, and submission of Hugging Face GGUF layer-package jobs.

3.1k|376|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/Mesh-LLM/mesh-llm --skill hf-layer-package-jobs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hf-layer-package-jobs
Source: https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/hf-layer-package-jobs
Command: npx skills add https://github.com/Mesh-LLM/mesh-llm --skill hf-layer-package-jobs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates the planning, validation, and submission workflows for Hugging Face GGUF layer-package jobs, reducing manual coordination and cost uncertainty.

Core Features & Use Cases

  • Automates planning for layer-package splitting and catalog publishing within mesh-llm workflows.
  • Enforces dry-run behavior by default, providing resolved plans, effective timeouts, hardware selections, and maximum costs before submission.
  • Integrates with the models-package CLI, the model-package crate, and the Unsloth queue for end-to-end lifecycle management of HF layer-packages.

Quick Start

Run the HF layer-package workflow to queue, validate, and submit layer-package jobs.

Frequently Asked Questions about hf-layer-package-jobs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Hugging Face GGUF layer-package job submissions safely?

Automate Hugging Face GGUF layer-package job submissions safely by using a workflow that defaults to dry-run mode, resolves execution plans, and enforces explicit confirmation guards before final queue submission.

How does cost estimation work for Hugging Face layer-package splitting jobs?

Cost estimation for Hugging Face layer-package splitting calculates maximum costs during the initial dry-run phase, resolving hardware selections and effective timeouts to provide explicit budget boundaries before submission.

Can I use the models-package CLI to publish and split GGUF models in an automated workflow?

Yes, you can use the models-package CLI to orchestrate end-to-end lifecycle management for GGUF models, integrating layer-package splitting and catalog publishing directly into automated mesh-llm workflows.

What is the best way to validate a layer-package plan before submitting it to the Unsloth queue?

The best way to validate a layer-package plan before submitting it to the Unsloth queue is executing a safe dry-run that outputs resolved plans, hardware selections, and cost estimations for review.

Why do I need explicit confirmation for Hugging Face layer-package job orchestration?

Explicit confirmation is required for Hugging Face layer-package job orchestration to enforce safe submission guardrails, ensuring computed costs and resolved hardware plans are approved before initiating resource consumption.