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

Hacker News

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

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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Actual performance

4points
2comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, started · Missing: supports, reddit linkedin, podcasting
88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, user, single · Missing: agents, macos, agent
71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: plus, users · Missing: platform, intuitive, reviews
56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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