Google Unveils Gemma 2: 740M Param Multimodal Model
Google just dropped Gemma 2, a 740M parameter multimodal model that packs a punch in a tiny package. This model is designed for on-device use, making it perfect for local codebase indexing and semantic code search. If you're building a coding assistant or need to index your codebase locally, Gemma 2 is a game-changer. It supports a range of data types, including text, code, images, video, and audio, all mapped into a single, unified embedding space. The model's context window is 8K, four times larger than its text-only predecessor, and it's available under the Apache 2.0 license.
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