𝗚𝗼𝗼𝗴𝗹𝗲 𝗚𝗲𝗺𝗺𝗮 𝟰 𝟭𝟮𝗕: 𝗔𝗜 𝗢𝗻 𝗬𝗼𝘂𝗿 𝗗𝗲𝘃𝗶𝗰𝗲
Google made Gemma 4 12B. You run this AI on your own laptop. You do not need the cloud.
This change helps you in three ways:
- It lowers costs.
- It stops lag.
- It keeps your data private.
You need 16GB of RAM. Google made the model small. They used pruning and quantization. This fits the AI on your hardware.
The model handles more than text. It reads images too. One system does both. This makes the AI useful for more jobs.
Google used the Apache 2.0 license. You use it for your business. You change the code. You share it with others.
There are some risks:
- Your laptop overheats.
- The AI stays the same. It misses cloud updates.
- Modified models risk your security.
You need a good balance of RAM and cooling. This makes the AI stable.
Source: https://dev.to/natcher/googles-new-ai-model-gemma-4-12b-enables-on-device-processing-with-minimal-hardware-requirements-2902 Optional learning community: https://t.me/GyaanSetuAi