{
  "video": "video-3b0c8fd7.mp4",
  "description": "This video is a screen recording showcasing the details of a model named **\"Gemma 4\"** within a platform that appears to be an AI model repository or documentation site.\n\nHere is a detailed breakdown of what is visible in the video:\n\n**Overall Layout:**\nThe interface has a standard web application layout with a header, a sidebar/navigation area, and a main content area. The current view is focused on the model page for \"Gemma 4.\"\n\n**Header/Navigation (Top Bar):**\n*   The platform name is visible (though partially obscured, it seems to be a development or AI tool environment).\n*   There are navigation elements including sections like \"Models,\" \"Docs,\" \"Blog,\" \"Enterprise,\" and \"CLI.\"\n*   User-related options (like \"Login\" and possibly account settings) are in the top right corner.\n\n**Main Content - Model Overview (Gemma 4):**\n*   **Title:** The page is clearly titled **\"Gemma 4.\"**\n*   **Description:** A large block of text describes the model: \"Gemma 4 is Google's most capable family of open models, built from Gemini 3 research. Supports vision input and available in multiple sizes for on-device deployment.\"\n*   **Statistics:** To the right of the title, it shows that the model has **\"456.6K Downloads.\"**\n\n**Model Selection/Versions Table:**\nThe core of the screen is a table listing different versions or sizes of the Gemma 4 model. This table has several columns:\n*   **Model Name:** Lists specific variants (e.g., `google/gemma-4-e2b`, `google/gemma-4-e4b`, `google/gemma-4-e6b`, `google/gemma-4-8t8`).\n*   **Parameters/Size:** Shows the size of each model (e.g., `4.2B`, `5.9B`, `17.0B`, `19.0B`).\n*   **Metrics:** Columns for \"D2,\" \"A7,\" and \"Get\" likely represent various benchmarks, configurations, or ways to access the model.\n*   **Action Buttons:** Each row has an \"Get\" button, indicating how a user can acquire or use that specific model variant.\n\n**Model Requirements Section:**\nBelow the model table, there is a section titled **\"Memory Requirements,\"** which provides important technical constraints:\n*   \"To run the smallest Gemma 4, you need at least 4 GB of RAM.\"\n*   \"The largest one and memory size is up to 16 GB.\"\n\n**Sidebar/Additional Information:**\n*   A sidebar on the left contains navigation links, with **\"All Models\"** being visible.\n*   At the bottom of the visible area, there is a section header **\"About Gemma 4,\"** suggesting further documentation follows.\n\n**In summary, the video provides a technical product page for the AI model family \"Gemma 4,\" detailing its capabilities, listing its various available sizes, and specifying the hardware requirements for deployment.**",
  "codec": "av1",
  "transcoded": true,
  "elapsed_s": 17.1
}