thox-pro-32b

THOX configuration of Qwen3-32B — a THOX configuration and distribution of Qwen3 32B for local professional work on a single device: complex document analysis, multi-step professional workflows, and cross-domain synthesis, within the base model's abilities, with all inference local

Live on Ollama

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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 Qwen3 32B for local professional work on a single device: complex document analysis, multi-step professional workflows, and cross-domain synthesis, within the base model's abilities, with all inference local. Configuration-derived: THOX did not train these weights.

Correction notice. This card previously described the build as full precision (FP16/BF16); the served build is Q4_K_M per the manifest config. It also presented HIPAA, SOC 2, FERPA, FISMA, and ITAR compliance as product properties and quoted per-scenario savings figures; THOX claims no certification for this model, and those have been removed. No benchmark, throughput, latency, concurrency, uptime, cost-saving, or compliance figure is claimed for this release. Earlier versions also stated a blanket MIT license for the model; that was incorrect for the weights (see License).

Model ID: Thox-ai/thox-pro-32b Base model: Qwen3 32B by Alibaba Cloud Runnable build: Ollama - ollama run Thox-ai/thox-pro-32b License: Apache License 2.0 (weights; see License)

Highlights

• Configuration, not training: a THOX configuration and distribution of Qwen3-32B for local professional work on a single device. THOX did not train these weights; the THOX work is the configuration, clustering layer, and documentation.
• Professional workload posture: complex document analysis, multi-step professional workflows, and cross-domain synthesis, with all inference local.
• Runnable build on Ollama: Q4_K_M served build, ollama run Thox-ai/thox-pro-32b. This HF repository is the card page; independent THOX evaluation is pending and no figure is claimed for this release (see Evaluation and the correction notice in the Summary).

Files

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

Intended use

• Strategic and executive analysis on isolated networks
• Clinical, legal, financial, and research document work under qualified human oversight
• Regulated-industry evaluation of local AI, subject to the operator's own compliance obligations

Run it

ollama pull Thox-ai/thox-pro-32b
ollama run Thox-ai/thox-pro-32b

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-32b - the original card this page is based on lives there in full.

Platforms

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 Alibaba (Qwen) 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: The original card reports qualitative domain performance (healthcare, legal, finance, research, enterprise) without published benchmark scores, and THOX claims no figure for this release.

Limitations

• Requires specialized hardware for optimal performance

• Best suited to professional and executive use, not casual conversation

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

• Strategic, medical, legal, and financial outputs require qualified human judgment and review

• 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 32 GB RAM, 25 GB storage, NVIDIA Jetson Orin AGX class GPU (32GB VRAM). Recommended 64 GB RAM, 100 GB NVMe SSD, Jetson Orin AGX class GPU (64GB VRAM), 10 Gigabit Ethernet.

Research

THOX MeshStack: Capacity-Priced Pipeline Sharding, Grant-Gated KV Transfer and Lease-Fenced Device Roles for a Private Household Mesh

THOX.ai Research technical report v1.1.0, 4 November 2026. Craig Ross and Tommy Xaypanya, THOX.ai LLC. DOI: https://doi.org/10.5281/zenodo.23969070 — Paper page: https://thox.ai/research/papers/meshstack — PDF: https://thox.ai/papers/meshstack-1.1.0.pdf

License

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. The Ollama manifest for this model also carries a THOX MIT layer, which covers THOX's own packaging material only.

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-32b and https://ollama.com/Thox-ai/thox-pro-32b
• 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_32b_2025,
  title = {Thox.ai Pro 32B - Flagship Professional AI},
  author = {Thox.ai LLC},
  year = {2025},
  url = {https://huggingface.co/Thox-ai/thox-pro-32b},
  note = {Runnable build: https://ollama.com/Thox-ai/thox-pro-32b}
}

Your AI. Your Data. Your Rules.™