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DeepOpenModel

deepopen

deepopen is an open-weight, non-autoregressive model for typed decisions, based on ModernBERT-large with 421 million parameters. It supports a 512-token context and is intended for English-language tasks.

What it does

Developers can use it to build local intent-classification and structured-decision workflows, such as routing requests or scoring urgency.

Availability
Install from the public GitHub repository
Pricing model
$0 self-hosted
Deployment
Can run on CPU or compatible GPU; supports local checkpoint directories
Privacy
Not established
Licence
Apache License 2.0; review separate model and dataset licenses
Capability
analysisextraction
Modality
text
Access
SDK
Deployment
on-premises
Pricing
unknown
Target user
developerenterprise

Evidence

6 claims
  • DeepOpen evaluates predefined questions over text or JSON and returns labels, scores, and probabilities. [1]
    DeepOpen evaluates predefined questions over text or JSON and returns labels, scores, and probabilities.
    GitHub new repositories. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The SDK provides choice, score, and noul decision types. [1]
    The SDK provides `router_questions()`, `guard_questions()`, `moderation_questions()`, `triage_questions()`, and `email_questions()`.
    GitHub new repositories. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • Installation instructions install the package directly from the GitHub repository. [1]
    Install from this repository; the installation instructions do not depend on a PyPI release named `deepopen`.
    GitHub new repositories. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The quick start supports CPU use and compatible GPU environments. [1]
  • Predictions can be wrong, and confidence scores are not a guarantee of correctness. [1]
    Output types are constrained; predictions can still be wrong, and probabilities require validation on your own data.
    GitHub new repositories. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • Self-hosting avoids per-token API fees but still incurs hardware, electricity, and operating costs. [1]
    Self-hosting avoids per-token API fees but still incurs hardware, electricity, and operating costs.
    GitHub new repositories. Quoted text is outside CC BY 4.0 and keeps its original rights.

Sources

1
1
GitHub new repositoriesOwner-controlled
https://github.com/deepopen-com/deepopen Retrieved 2026-10-29 01:10 UTC
Verified

Versions

5
VersionEffectiveChangeChanged fieldsState
52026-10-24 00:44 UTCmaterial changecapability, access, pricing, availability, deploymentCurrent
42026-10-23 00:24 UTCmaterial changeaccess, availability, pricing model, deploymentCurrent
32026-10-21 12:53 UTCevidence updatescoreCurrent
22026-09-25 13:08 UTCmaterial changecapability, access, availabilityCurrent
12026-09-24 13:41 UTCpublicationNoneCurrent

In briefs

1

Open in the catalog

Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.