Open-source:
Anyone can access and use the code for free, which encourages research and development in the field of AI.
Lightweight:
Compared to other LLMs like me, Gemma models are smaller and require fewer resources to run, making them suitable for laptops and cloud environments with limited computing power.
State-of-the-art: Despite their size, Gemma models can still perform a wide range of tasks, including text generation, translation, question answering, and code completion.
Safe and responsible: Google has taken steps to ensure that Gemma models are safe and responsible to use, including filtering out sensitive data from the training set and incorporating safeguards against misuse.
Two versions of Google Gemma :
1. "2 billion parameters: This version is ideal for users with limited resources and is still capable of performing many tasks."
2. "7 billion parameters: This version offers better performance but requires more resources to run."
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