HuggingFaceModelDownloader

Why we included this project

Pulling models from the HuggingFace Hub is a daily chore for anyone working with local LLMs, and this Go binary makes it noticeably less painful. It downloads into the standard HuggingFace cache with chunked parallel connections and resume support, so once it finishes, transformers, diffusers, and other Python tools find the weights without you touching any path config. What I like most is the analyzer: before committing to a multi-gigabyte download, you can walk through a GGUF repo interactively, check quantization quality ratings and RAM estimates, spot the recommended Q4_K_M build, or grab only the pieces you actually need. It also copes with restricted networks via SOCKS5 proxy and CIDR bypass, and the JSON output plus a small web UI mean it works just as well inside scripts as it does when you want to click through a download on your workstation.