skills.rest
trymirai
trymiraiOFFICIAL
Explore all skills by this author →
Website𝕏@trymiraiGitHub

download-model

Download test models by REPO_ID into ./models/{ENGINE_VERSION}/{MODEL_NAME}.

1.7k|68|Updated Jun 23, 2025
Search Tags:#validation#download#model#inference#engine#helpers
One-click install
npx skills add https://github.com/trymirai/uzu --skill download-model
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: download-model
Source: https://github.com/trymirai/uzu/tree/main/agents/skills/download-model
Command: npx skills add https://github.com/trymirai/uzu --skill download-model

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the process of downloading a model into the local workspace for testing the inference engine, eliminating manual setup steps.

Core Features & Use Cases

  • Automated model retrieval via the provided helpers package to fetch test models.
  • Simple, repeatable workflow for validating model compatibility with the inference engine across versions.
  • Use Case: Retrieve a model by REPO_ID and place it under ./models/{ENGINE_VERSION}/{MODEL_NAME} for immediate testing.

Quick Start

Execute uv run main.py download-model {REPO_ID} from the project root to download the selected model.

Frequently Asked Questions about download-model

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

FAQPage Schema
How do I download a model for inference engine testing?▼

To download a model for inference engine testing, execute uv run main.py download-model {REPO_ID} from the project root. The helpers package automatically fetches the specified model and places it under ./models/{ENGINE_VERSION}/{MODEL_NAME}.

What is the best way to automate model retrieval for integration tests?▼

Automating model retrieval for integration tests is best handled by the provided helpers package, which fetches models by REPO_ID and places them directly under ./models/{ENGINE_VERSION}/{MODEL_NAME} for immediate testing.

Can I use this download helper to validate model compatibility across different engine versions?▼

Yes, you can validate model compatibility across different engine versions by specifying the REPO_ID. The downloaded model is automatically placed under ./models/{ENGINE_VERSION}/{MODEL_NAME} for repeatable testing.

Do I need the helpers package to fetch test models into my local workspace?▼

Yes, the helpers package is required to fetch test models into your local workspace. It automates the download process by retrieving the model via REPO_ID and placing it under the correct engine version directory.

Where are downloaded models placed when fetching them for benchmarking?▼

Downloaded models for benchmarking are placed under ./models/{ENGINE_VERSION}/{MODEL_NAME}. This directory structure ensures the model is correctly organized for testing against the specific inference engine version.

Related Skills

Explore More Software Engineering Skills→
bigbiobigbio
11

sdrf:setup

Install and configure SDRF annotation dependencies via Conda, Pip, or uv.

Official
Intermediate
trymiraitrymirai
1.7k

benchmark-model

Benchmark AI model inference latency, throughput, and resource usage via CLI.

Official
Intermediate
trymiraitrymirai
1.7k

list-downloaded-models

List downloaded models by inspecting the ./models/{ENGINE_VERSION} directory structure.

Official
Basic
CHENyiru3CHENyiru3

huggingface-hub

Manages and searches projects, and shares files and folders, in the cloud.

Community
Intermediate