bodaay/HuggingFaceModelDownloader

Health v2 · maintenance only

Adoption not part of the score

1147 stars · 123 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Go-based CLI utility for downloading models and datasets from the HuggingFace Hub with parallel, resumable downloads. It includes an interactive GGUF quantization picker with quality ratings and RAM estimates, and writes to the standard HuggingFace cache so Python libraries work seamlessly.

Use cases

• download huggingface models from the command line
• download gguf quantized models with an interactive picker
• resume interrupted model downloads
• download models behind a corporate proxy
• fetch huggingface datasets quickly with parallel connections
• populate the huggingface cache for use with transformers

When to choose

• you need fast, parallel, resumable downloads of HuggingFace models or datasets
• you want help choosing the right GGUF quantization for your hardware
• you need proxy/SOCKS5 support for restricted networks
• you want downloads compatible with the standard HuggingFace cache layout

When to avoid

• you need a full Python-based HuggingFace tooling ecosystem (use huggingface_hub)
• you need to upload or manage models, not just download them
• you need a GUI-only workflow without any command line

Facets

cli-tool · maturity active

cli developer-tools machine-learning llm-inference machine-learning large-language-models developer-tools windows go cli huggingface model-downloader gguf parallel-download transformers command-line linux macos docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="bodaay/HuggingFaceModelDownloader")