LocalLLaMA

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Announcing Gemma 3n preview: powerful, efficient, mobile-first AI (developers.googleblog.com)

submitted 4 days ago* (last edited 4 days ago) by [email protected] to c/localllama

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Gemma 3n includes the following key features:

Audio input: Process sound data for speech recognition, translation, and audio data analysis.

Visual and text input: Multimodal capabilities let you handle vision, sound, and text to help you understand and analyze the world around you.

PLE caching: Per-Layer Embedding (PLE) parameters contained in these models can be cached to fast, local storage to reduce model memory run costs. Learn more

MatFormer architecture: Matryoshka Transformer architecture allows for selective activation of the models parameters per request to reduce compute cost and response times. Learn more

Conditional parameter loading: Bypass loading of vision and audio parameters in the model to reduce the total number of loaded parameters and save memory resources. Learn more

Wide language support: Wide linguistic capabilities, trained in over 140 languages. 32K token context: Substantial input context for analyzing data and handling processing tasks.

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[–] [email protected] 3 points 4 days ago

oops wrong link