EmbeddingGemma 2Google
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NativBlaizzy
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Related Products
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About
EmbeddingGemma 2 is an open, lightweight multimodal embedding model designed to map text, code, images, video, and audio into a shared embedding space for search, retrieval, classification, routing, and RAG applications. Built on the Gemma 4 architecture and released under the Apache 2.0 license, it has 740 million parameters and is optimized for on-device inference. Its modular design can use as little as 270M parameters for text-only workloads, with optional vision and audio encoders for full multimodal support. Matryoshka Representation Learning lets developers reduce output vectors from 768 dimensions to 512, 256, or 128, lowering storage and memory requirements for local vector databases. The model supports an 8K-token context window and can process up to 5.5 minutes of audio, 29 images, 58 video frames, or interleaved combinations on local hardware.
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About
Nativ is a 100% open-source macOS app for running OpenAI models locally on Apple Silicon, putting frontier intelligence directly on your desk with no accounts or cloud required. It provides a clean chat interface with streaming responses, Markdown, code highlighting, image input, and per-message performance metrics, with every response generated locally. A curated model library includes open models from teams such as Google, Cohere, and Liquid AI, while Nativ recommends models suited to the hardware in your Mac. Built on MLX-VLM and tuned for M-series unified memory and Metal, it runs models without wrappers or translation layers. Live telemetry exposes tokens per second, memory pressure, thermal state, and time to first token so users can see what is actually happening during inference. Nativ supports language, vision, video, code, and audio workflows, including chatting with LLMs, captioning images, summarizing video, autocompleting code, transcribing audio, and generating speech.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Developers and AI teams wanting to build private, efficient, on-device multimodal search, retrieval, RAG, and semantic indexing systems
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Audience
Developers, researchers, hackers, and users seeking to run, inspect, customize, and connect open AI models locally for private multimodal and coding workflows
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationGoogle
Founded: 1998
United States
blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/
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Company InformationBlaizzy
United States
blaizzy.github.io/nativ/
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Alternatives |
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Categories |
Categories |
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Integrations
Claude Code
Not Supported
Codex CLI
Not Supported
Cohere
Not Supported
Google
Not Supported
Hermes Agent
Not Supported
Liquid AI
Not Supported
Markdown
Not Supported
OpenAI
Not Supported
OpenCode
Not Supported
Pi Agent
Not Supported
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Integrations
Claude Code
Supported
Codex CLI
Supported
Cohere
Supported
Google
Supported
Hermes Agent
Supported
Liquid AI
Supported
Markdown
Supported
OpenAI
Supported
OpenCode
Supported
Pi Agent
Supported
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