Show HN: We made a 2.5GB Offline disaster AI assistant [video]

#1

Post by inlandrookie » Thu, Aug 14, 2025, 5:54 PM UTC

It is a prototype for Gemma 3n Impact Challenge hosted by DeepMind. We don't have experience on local LLM before, so it is a pretty fun learning experience. Hope to see more lightweight llm model in the future!

Show HN: We made a 2.5GB Offline disaster AI assistant [video]
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Re: Show HN: We made a 2.5GB Offline disaster AI assistant [video]

#2

Post by habedi0 » Thu, Aug 14, 2025, 6:11 PM UTC

Looks like a great (offline) use case for small language models. Are you going to share the source code for your implementation?

Re: Show HN: We made a 2.5GB Offline disaster AI assistant [video]

#3

Post by inlandrookie » Thu, Aug 14, 2025, 6:21 PM UTC

Source Code: https://github.com/Aurora-yang-git/MAZU-Offline_Disaster_Ass...

Re: Show HN: We made a 2.5GB Offline disaster AI assistant [video]

#4

Post by inlandrookie » Thu, Aug 14, 2025, 6:22 PM UTC

habedi0 wrote: post #2

Looks like a great (offline) use case for small language models. Are you going to share the source code for your implementation?

https://github.com/Aurora-yang-git/MAZU-Offline_Disaster_Ass...

Re: Show HN: We made a 2.5GB Offline disaster AI assistant [video]

#5

Post by [deleted] » Thu, Aug 14, 2025, 6:28 PM UTC

[deleted]

Re: Show HN: We made a 2.5GB Offline disaster AI assistant [video]

#6

Post by habedi0 » Thu, Aug 14, 2025, 6:52 PM UTC

inlandrookie wrote: post #4

habedi0 wrote: post #2

Looks like a great (offline) use case for small language models. Are you going to share the source code for your implementation?

https://github.com/Aurora-yang-git/MAZU-Offline_Disaster_Ass...

Thanks for the share.