This model was quantized using oQ (oMLX v0.7.1) mixed-precision quantization with Improved oQe Quantization (jundot/omlx#4385). A mixed-precision MLX checkpoint of deepseek-ai/DeepSeek-V4.1-Flash, a multimodal mixture-of-experts model with 552B backbone parameters, a Causal Encoder-Decoder layout, Compressed Sparse Attention 2 (CSA2), Engram conditional memory and DSpark speculative decoding. It includes the language model, the Engram tables, the vision encoder, the multimodal aligner and the DSpark MTP weights. The effective average is 4.365 bits/weight excluding Engram, or 4.529 bits/weight for the complete checkpoint.

Visual QA

Input Text · Image→ Output Text

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DeepSeek-V4-Flash-0731-oQ2.7e-mtp

Jundot

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Text generation

Input Text→ Output Text

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DeepSeek-V4-Flash-0731-oQ2e-mtp

Jundot

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Category pending

Input Not verified→ Output Not verified

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DeepSeek-V4-Flash-0731-oQ3e-mtp

Jundot

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Text generation

Input Text→ Output Text

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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