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DeepSeek OCR

DeepSeek

Catalogue only Open weights

Last reviewed:

Sovereignty and hosting

Catalogue only

This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.

Summary

DeepSeek OCR is an open-weight vision-language model from DeepSeek with 3.3B parameters, published under MIT. It accepts text and images and answers in text. The published configuration records no context window, so this card carries none. It is a base checkpoint without instruction tuning. The card is catalogue-only: LLM EU does not run this model. The publisher lists 1 language.

Specifications

Provider
DeepSeek (CN)
Context window
Not verified: the provider has not documented this claim.
Parameters
3.3B
Modalities
text, vision
License
mit · licence
Open weights
yes
Release date
17 Oct 2025
Tasks
Vision, Retrieval (RAG), Low cost

Languages

Strong: —

Adequate: ocr

Strong

    Adequate

    • ocr

    Not verified: the provider has not documented this claim. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.

    When to use it

    Strengths

    • open weights are published on Hugging Face and can be downloaded without a vendor agreement
    • mit licence, so commercial self-hosting is permitted without a separate agreement
    • at 3.3B parameters it fits on a single accelerator

    Limits

    • catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
    • no evaluation has been run by LLM EU
    • the published configuration records no context window, so the card carries none
    • at 3.3B parameters, the weights fit on a single modest accelerator
    • vision checkpoints are heavier to serve than their parameter count alone suggests, because the image encoder and pre-processing run alongside the language model