gemma-4-E4B-it-GGUF

**Gemma 4 E4B**, self-quantized to GGUF by Atomic Chat. Built straight from Google's original weights with a per-tensor importance matrix, so this is not a repack of somebody else's files. Runs fully offline. - **4.5B effective (8B with embeddings) parameters**: the weights this repo quantizes. - **Context length**: 128K tokens, as published by Google. - **42 layers**: Dense decoder, hybrid sliding-window (512) and global attention. - **Modalities**: Text, Image, Audio. - **Full imatrix ladder**: every quant is calibrated with an importance matrix, published here alongside the quants. - **Reasoning**: All models in the family are designed as highly capable reasoners, with configurable thinking modes. - **Diverse & Efficient Architectures**: Offers Dense and Mixture-of-Experts (MoE) variants of different sizes for scalable deployment. > [!NOTE] > These GGUFs are **self-quantized from the original weights**, not a repack. The importance matrix keeps low-bit quants closer to the full-precision model.

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