thox-cluster-scout

THOX configuration of Qwen2.5-72B-Instruct — a THOX configuration and distribution of Qwen2.5 72B for local inference and MeshStack deployments at department scale: the department-scale tier of the MagStack family

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Run it: [Ollama — Thox-ai/thox-cluster-scout](https://ollama.com/Thox-ai/thox-cluster-scout) · Find your model: THOX Model Factory · Collection: MeshStack & MeshMind Models

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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 Run it / 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 Qwen2.5 72B for local inference and MeshStack deployments at department scale: the department-scale tier of the MagStack family. Configuration-derived: THOX did not train these weights.

Correction notice. This card previously quoted cost-saving, productivity, and concurrency figures; those were inherited catalog copy with no THOX deployment evidence behind them and have been removed. No benchmark, throughput, latency, concurrency, uptime, cost-saving, or compliance figure is claimed for this release. Earlier versions of this card also stated MIT and marketed commercial deployment; both were incorrect (see License Terms).

Model ID: Thox-ai/thox-cluster-scout Base model: Qwen2.5 72B by Alibaba Cloud Runnable build: Ollama - ollama run Thox-ai/thox-cluster-scout License: Qwen Research License Agreement - non-commercial use only (see License Terms)

Highlights

• A THOX configuration and distribution of Qwen2.5 72B for local inference and MeshStack deployments at department scale: the department-scale tier of the MagStack family.

Files

File	Size	Purpose
.gitattributes	1,519 B	Repository file

MeshStack Origin

This model was designed for MeshStack, THOX's device-to-device clustering technology, built for the flagship ThoxNova devices. ThoxNova hardware was designed to magnetically connect and interact, using custom-developed magnetic pogo pins (MagStack) to distribute models and share compute, memory, and workload from device to device. One device is a computer; a stack of them is a cluster.

That physical stack is the foundation of the MeshStack app and the patent-pending over-air mesh technology THOX ships today, which performs the same device-to-device distribution and resource sharing without a physical connection. 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.

This distribution's weight layer is identical to thox-cluster-secure's (same SHA-256 digest). The two differ only in system prompt and presentation: Scout is the standard department configuration, Secure the security-focused one.

Specifications

Specification	Details
Base model	Qwen2.5 72B (Alibaba Cloud)
Parameters	72B
Size	47 GB (Ollama listing)
Deployment	Local inference via Ollama; distributed orchestration via MeshStack (separate from this download)
Context window	128K tokens (served num_ctx 131072 in the Ollama configuration; the Ollama latest-tag figure of 32K is a display artifact)
Quantization	Q4_K_M (GGUF)
Languages	100+ (catalog-reported)

License warning (read first): the weights in this distribution are licensed under the Qwen Research License Agreement for non-commercial purposes only. Commercial use requires a separate license from the licensor. See License Terms below.

Intended Use

• Research and evaluation of large-model local inference at department scale
• Non-commercial evaluation of MeshStack device pooling with a 72B-class model
• Document analysis and team knowledge work within the license terms below

How to Use

ollama pull Thox-ai/thox-cluster-scout
ollama run Thox-ai/thox-cluster-scout

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-cluster-scout - 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-cluster-scout``
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 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: No benchmark scores were published in the catalog summary for this model; independent THOX evaluation is pending (see Evaluation).

Limitations

• 72B-class hardware requirements

• Local deployment only in this distribution; behavior and speed depend entirely on the operator's hardware and configuration

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

• 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)

Per device: minimum 64 GB RAM, 60 GB storage, NVIDIA Jetson Orin AGX class GPU (64GB VRAM), 10 Gbps network. Recommended 128 GB RAM, 100 GB NVMe SSD.

License Terms

Non-commercial only. The base model weights in this distribution are governed by the Qwen Research License Agreement (Alibaba Cloud), as recorded in the Ollama manifest license layer: the materials are granted for non-commercial purposes only, and commercial use requires a separate license from the licensor. THOX claims no license over the weights, and no statement on any THOX page grants commercial rights in them.

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-cluster-scout and https://ollama.com/Thox-ai/thox-cluster-scout
• 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_cluster_scout_2025,
  title = {Thox.ai Cluster Scout - Department-Scale MagStack Distributed AI},
  author = {Thox.ai LLC},
  year = {2025},
  url = {https://huggingface.co/Thox-ai/thox-cluster-scout},
  note = {Runnable build: https://ollama.com/Thox-ai/thox-cluster-scout}
}

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