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Resumable file-by-file downloader for moonshotai/Kimi-K3, a zero-RC native binary from borrow-checked Jac

0 starsJac

Easiest tool (65kb binary) to download Kimi K3 fast (while we can)

by marsninja·Jul 27, 2026·3 points·1 comment

AI Analysis

●●SolidNiche GemShip It

Zero-GC binary in Jac that survives kill -9 while downloading 1.5TB models.

Strengths
  • Written in Jac with enforced zero-RC, proving static memory management without a garbage collector.
  • Atomic manifest caching and partial file verification ensure no corrupted downloads.
  • Tiny 68kb binary size makes it easy to distribute and run on any server.
Weaknesses
  • Highly specific to one model repository (Kimi-K3) rather than a general-purpose tool.
  • Jac language obscurity may hinder community contributions or trust in the binary.
Target Audience

ML engineers and researchers downloading large models

Similar To

huggingface-cli · wget · rclone

Post Description

I built this tool (kimi-fetch) to download the full 1.5TB moonshotai/Kimi-K3 from Hugging Face, one file at a time, and survive being stopped and restarted for any reason (Ctrl-C, kill -9, power loss).

If anything happens you can run it again and it resumes midfile until all 100 plus files are complete and verified with a sha256 hash.

The tool itself is a 68kb standalone binary that runs on mac and linux (wsl if you are on windows). And when you run it ./kimi-fetch it will immediately start downloading k3 from hungingface with max restart-ability. And will verify everything it downloads. I'll likely add a feature in a future release to have it automatically create 3 copies after for triple modular redundancy via a flag, but users can do that themselves for now.

I created this because I couldn't find a focused tool just for this type of thing, and I want to get this done with then next 24 hrs, because there is no telling what the government might do.

Its easy to install via a single curl command. And you simply have ot run ./kimi-fetch and it createa Kimi-K3 folder and gets going. Would love feedback.

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