microsoft/Mage-VL-Cowork

image-text-to-text model by microsoft

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

Mage-VL-CoworkA Full Training Recipe to Learn Hybrid Computer Use from Evolved Harnesses Computer-use agents (CUAs) that confine themselves to pixels pay a heavy tax: a single screenshot consumes thousands of tokens, and re-deriving structured file edits through dozens of mouse clicks discards the fastest, most verifiable channel on the machine. Conversely, giving a frontier model naive access to both GUI and terminal tools does not automatically produce hybrid competence — without an optimized execution scaffold, even frontier teachers exhibit suboptimal channel habits that transfer directly to distilled students. Worse, existing CUA post-training pipelines rely on checkpoints already heavily specialized for GUI grounding and coding. Mage-VL-Cowork bridges this gap. Trained end-to-end from an intermediate 4B Mage-VL checkpoint through a progressive five-stage specialize-then-unify curriculum, it combines screenshot-grounded GUI interaction (computeruse) and persistent code/terminal execution (bash) inside a single vision-language policy — with no external orchestrator. Upstream of training, we evolve the teacher…

microsoft/Mage-VL-Cowork on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-11-01T09:01:05.702Z

Inside the original model card — Document outline

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the model card

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

microsoft/Mage-VL-Cowork is a image-text-to-text model repository published by microsoft on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task: image-text-to-text
Library: transformers
Recent downloads (30 days): 233
Cumulative likes: 97
Hugging Face trending score: 96
Reported safetensors parameters: 4,741,793,792
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-10-30T12:13:24.000Z
Last modified: 2026-10-30T12:14:43.000Z

Compatibility and lineage

Reported languages: en

Reported base models: microsoft/Mage-VL

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related models

google/gemma-4-31B-it

ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF

Qwen/Qwen3.8-27B

Qwen/Qwen3.5-4B

Qwen/Qwen3-VL-8B-Instruct

Qwen/Qwen3.5-9B