thox-pro-14b

THOX configuration of Ministral-3-14B-Instruct-2512 — a THOX configuration and distribution of Ministral 3 14B for professional document and image work on a single device: text and image input for documents, charts, diagrams, and figures, w

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Status: MODEL CARD PAGE — RUNNABLE BUILD ON OLLAMA. This Hugging Face repository is the model's public model card page and THOX packaging record; the runnable build is served from Ollama (see How to Use). THOX did not train these weights; THOX's work is the configuration, clustering layer, and documentation.

Summary

A THOX configuration and distribution of Ministral 3 14B for professional document and image work on a single device: text and image input for documents, charts, diagrams, and figures, with all inference local (image data is processed on your device, not uploaded). Configuration-derived: THOX did not train these weights.

Correction notice. This card previously published approximate benchmark figures (MMMU, ChartQA, DocVQA, MathVista) and dollar savings per deployment scenario; none were THOX-run measurements, and they have been removed. It also presented HIPAA and SOC 2 compliance as product properties; THOX claims no certification for this model. No benchmark, throughput, latency, concurrency, uptime, cost-saving, or compliance figure is claimed for this release. Earlier versions also stated the license as MIT; that was incorrect (see License Terms).

Model ID: Thox-ai/thox-pro-14b Base model: Ministral-3 14B by Mistral AI Runnable build: Ollama - ollama run Thox-ai/thox-pro-14b License: Apache License 2.0 (see License Terms)

Highlights

• A THOX configuration and distribution of Ministral 3 14B for professional document and image work on a single device: text and image input for documents, charts, diagrams, and figures, with all inference local (image data is processed on your device, not uploaded).

Files

File	Size	Purpose
.gitattributes	1,519 B	Repository file

MeshStack Origin

This model is part of the professional model family released alongside the MeshStack Cluster family. MeshStack, THOX's device-to-device clustering technology, was built for the flagship ThoxNova devices: hardware designed to magnetically connect and interact, using custom-developed magnetic pogo pins (MagStack) to distribute models and share resources device to device. The Pro family is the single-device professional line from the same program, and the foundation the Cluster family builds on.

That physical stack is the foundation of the MeshStack app and the patent-pending over-air mesh technology THOX ships today. MeshStack is included in the THOX Kickstarter campaign (thox.ai).

What THOX Did and Did Not Do

These are THOX-configured model distributions, and the THOX work lives in the MeshStack clustering layer, configuration, documentation, and the origin program, never in the weights. The weight layers in this model's Ollama distribution are byte-identical to the upstream provider's Ollama distribution (SHA-256 verified in the 2026-10-31 release review), and the weights remain governed by the upstream license terms recorded on this card. What THOX built is the layer around them: the MagStack and MeshStack clustering design these configurations were made for, the runtime configuration, and this documentation.

Specifications

Specification	Details
Base model	Ministral-3 14B (Mistral AI)
Parameters	14B
Size	9.1 GB (Ollama listing)
Context window	256,000 tokens
Quantization	Q4_K_M (GGUF)
Modalities	Text and image; up to 5 images, up to 4K resolution; JPEG, PNG, TIFF, DICOM, PDF
Deployment	Local inference via Ollama; distributed orchestration via MeshStack (separate from this download)

Intended Use

• Document and exhibit review with visual content, under professional oversight
• Chart, dashboard, and scientific-figure interpretation
• Preliminary screening support in professional settings; outputs require licensed professional verification and are not a diagnosis, legal opinion, or financial advice

How to Use

ollama pull Thox-ai/thox-pro-14b
ollama run Thox-ai/thox-pro-14b

This Hugging Face repository is the model's public model card page. The runnable build is served from Ollama at https://ollama.com/Thox-ai/thox-pro-14b - the original card this page is based on lives there in full.

Platforms

Platform / device	Run path
Ollama (laptop / desktop)	`ollama run Thox-ai/thox-pro-14b``
Hugging Face	Download the builds listed under Files from this repo (see Run it)

Training Data and Procedure

This is a THOX distribution of the base model named above, packaged and documented by THOX.ai for local and MeshStack/MagStack deployment. The original THOX release materials for this model claim no separate THOX fine-tuning run, training dataset, or training procedure, and none is claimed here. Base-model training data and procedure are those of the base model's provider; see the base model card for that record.

Datasets added by THOX for this release: none.

Evaluation

Benchmark and performance figures quoted in this card were reported by Mistral for the base model and are reproduced from the model's original Ollama model card (catalog-reported at original publication). They were not re-run for this Hugging Face publication.

Independent THOX evaluation of this model on this page: pending. This section will be updated with method and results when a THOX-run evaluation lands; until then, treat quoted figures as the original catalog's claims, not as independently verified measurements.

Catalog notes for this model: No THOX-run evaluation has been published for this model. Approximate benchmark figures that appeared here previously (MMMU, MMMU Pro, ChartQA, DocVQA, MathVista) were not THOX-run measurements and have been removed; THOX claims no figure for this release.

Limitations

• Maximum 5 images per request; not optimized for video (frame-by-frame only)

• Specialized imaging such as DICOM requires proper format conversion

• The operator is responsible for meeting any regulatory obligations that apply to their deployment

• Medical, legal, and financial outputs require licensed professional oversight

• All processing is local by design; the model has no access to online information or external services unless the operator wires them in.

• Outputs can be wrong. Professional, medical, legal, financial, and security-relevant outputs require qualified human review.

Hardware Reference (from the original card)

Minimum 16 GB RAM, 12 GB storage, NVIDIA Jetson Orin NX (8GB VRAM). Recommended 32 GB RAM, 20 GB SSD, Jetson Orin AGX class GPU.

License Terms

The base model weights in this distribution are governed by the Apache License 2.0, as recorded in the Ollama manifest license layer for this model. THOX claims no license over the weights beyond the upstream terms. Where a THOX copyright notice appears on a page for this family, it applies to THOX's own material (configuration and documentation) only, not to the weights.

Provenance

• First listed on Ollama under Thox-ai in 2025 and held private.
• Publicly released 2026-10-31 by order of Tommy Xaypanya, CTO and Co-Founder of THOX.ai, as part of the MeshStack model family release.
• Runnable build: Ollama, ollama run Thox-ai/thox-pro-14b and https://ollama.com/Thox-ai/thox-pro-14b
• This Hugging Face repository was created 2026-10-31 as the model's public model card page. It contains this card; the runnable model build is served from Ollama.
• Announcement: the MeshStack model family public release announcement (thox.ai).

Citation

@software{thoxai_thox_pro_14b_2025,
  title = {Thox.ai Pro 14B - Advanced Vision for Professional AI},
  author = {Thox.ai LLC},
  year = {2025},
  url = {https://huggingface.co/Thox-ai/thox-pro-14b},
  note = {Runnable build: https://ollama.com/Thox-ai/thox-pro-14b}
}

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