Models and checkpoints

Holo3 35B-A3B

A sparse Qwen3.5-based GUI-action checkpoint released for navigation and computer-use workflows.

AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.

Original source ↗Read as MarkdownRecord JSON

What is this resource?

Resource type
Models and checkpoints
Environment
web, desktop, cross-platform
Topics
grounding, planning, action-prediction
Record publication date
Not recorded
Evidence retrieved
2026-10-17T04:07:19Z
Resource ID
url:a349aace3cfde25628a8

What licenses are recorded?

Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.

Code
Not recorded
Data
Not recorded
Document
Not recorded
Weights
apache-2.0 (publisher model/dataset card metadata; third-party assets retain their own terms)

Recorded specifications

disabled
false
download url
https://huggingface.co/Hcompany/Holo3-35B-A3B/tree/main
gated
false
hub id
Hcompany/Holo3-35B-A3B

Explore related topics

GUI groundingPlanningAction prediction

Scope and limitations

Fourteen public safetensors shards are present. The card declares Apache-2.0 for this release and describes a 35B-total/3B-active MoE architecture. No unpublished enterprise benchmark or training corpus is added solely from its performance claims.

Primary evidence and verification

Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.

  1. editorial primary review

    Retrieved 2026-10-17T04:07:19Z. Supports: name, kind, summary, environments, topics, scope, relations, details.

    Content fingerprint0681f87b059110a4e5dff8955e9feca6c5ea118b326f729f9c0ed0fe49e42d03
  2. editorial primary review

    Retrieved 2026-10-17T04:07:18Z. Supports: identity, release_status, details, licenses.weights.

    Content fingerprintbc5324dd6ceea9a0cc6bf0639b99d24cdd172af3c5d247bf923fdce1dc11f582
  3. huggingface card

    Retrieved 2026-10-17T04:07:19Z. Supports: licenses.weights.

    Content fingerprint0681f87b059110a4e5dff8955e9feca6c5ea118b326f729f9c0ed0fe49e42d03

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