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    Models/Text Generation/deadbydawn101/gemma-4-E4B-Agentic-Opus-Reasoning-GeminiCLI-mlx-4bit

    gemma-4-E4B-Agentic-Opus-Reasoning-GeminiCLI-mlx-4bit

    by deadbydawn101

    157Kdl/month
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    Identifier
    Model ID
    deadbydawn101/gemma-4-E4B-Agentic-Opus-Reasoning-GeminiCLI-mlx-4bit

    Tags

    mlxgemma4safetensors4-bitquantizedapple-siliconmultimodalvisionreasoningchain-of-thoughtopusclaude-codesftfusedturboquantkv-cache-compressionlong-contextravenxtool-callingfunction-callingtext-generationconversationalendataset:Crownelius/Opus-4.6-Reasoning-2100x-formattedbase_model:deadbydawn101/gemma-4-E4B-mlx-4bitbase_model:finetune:deadbydawn101/gemma-4-E4B-mlx-4bitlicense:gemmaregion:us

    Use gemma-4-E4B-Agentic-Opus-Reasoning-GeminiCLI-mlx-4bit on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

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    How It Runs on Mixpeek

    On Mixpeek, gemma-4-E4B-Agentic-Opus-Reasoning-GeminiCLI-mlx-4bit runs as a managed extractor inside a processing pipeline. Point a bucket of text generation data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.