TL;DR: A new 2-bit quantized vision model, DeepSeek v4.1 Flash 1017, has been adapted for the Dwarfstar (ds4) framework, enabling efficient vision capabilities on consumer hardware.
Summary: A developer has successfully integrated and quantized the DeepSeek v4.1 Flash 1017 vision model for the Dwarfstar (ds4) framework. This adaptation uses 2-bit routed experts with 8-bit or higher for other components, and an FP8 engram table, following the original DS4.1 Q2 recipe. The model's wired backbone is over 150GB, streaming from SSD on 128GB systems, with the ~200GB engram table paged on-demand.
Why it matters: This release provides indie developers with a powerful, efficient open-weights vision model for local deployment, lowering the barrier to integrating advanced vision capabilities. Builders should explore its performance on resource-constrained devices for multimodal AI applications.
Source: reddit