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wrldsuksgo2mars
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Model Details
Model Provider
wrldsuksgo2mars
Model Tree
deepseek-ai/DeepSeek-V4-Flash-Vision-Exp
Input Modalities
Output Modalities
Supported Functionality
The expert quantization used 1,426 prompts / 1,081,027 tokens spanning code review and rewriting, English and Chinese general text, multilingual text, math and reasoning, and structured tool calls. Quantization was propagated layer by layer, so each quantized layer generated the activations used for the next layer. The dSpark blocks used a deterministic 327,680-anchor sample of the jointly issued five-proposal target frontier.
The calibration corpus was text-only. The visual modules and visual routing biases are preserved exactly, but multimodal quality for this quantized expert set has not yet been measured.
DeepSeek-V4-Flash-Vision-Exp is DeepSeek's experimental multimodal V4 Flash
model. It combines the V4 Flash language architecture and built-in dSpark draft
path with a vision encoder and aligner. See the
DeepSeek-V4-Flash-Vision-Exp model card
for architecture details, prompt encoding, evaluation results, and license.
The model is provided under the MIT license from the source repository.