thox-cluster-maverick

THOX configuration of Qwen3-235B-A22B — a THOX configuration and distribution of Qwen3 235B MoE for local, on-premises inference at enterprise scale and MeshStack deployments

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 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 Qwen3 235B MoE for local, on-premises inference at enterprise scale and MeshStack deployments. Mixture-of-experts architecture: 235B total parameters with a smaller active subset per token, per Alibaba's model record. Configuration-derived: THOX did not train these weights.

Correction notice. This card previously claimed 99.99% uptime and concurrency figures for multi-device enterprise deployment; 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 the license as MIT; that was incorrect (see License).

Model ID: Thox-ai/thox-cluster-maverick Base model: Qwen3 235B MoE by Alibaba Cloud Runnable build: Ollama - ollama run Thox-ai/thox-cluster-maverick License: Apache License 2.0 (see License)

Highlights

• Configuration, not training: a THOX configuration and distribution of Qwen3-235B-A22B for local, on-premises inference at enterprise scale and MeshStack deployments. THOX did not train these weights; the THOX work is the configuration, clustering layer, and documentation.
• Mixture-of-experts: 235B total parameters with a smaller active subset per token, per Alibaba's model record.
• Runnable build on Ollama: ollama run Thox-ai/thox-cluster-maverick. This HF repository is the card page.

Files

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.

Specifications

Intended use

• Enterprise document analysis, research synthesis, and strategic work on local infrastructure
• Large-organization evaluation of on-premises frontier-class open models
• Multi-team knowledge work where data cannot leave the premises

Run it

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

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-maverick - 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: No benchmark scores were published on the original card. The 99.99% uptime design target and concurrency figures in earlier catalog copy were removed as unmeasured; THOX claims no uptime or concurrency figure for this release.

Limitations

• 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

• 142 GB model size; plan storage and interconnect accordingly. Mission-critical use requires the operator's own validation and redundancy engineering

• 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 128 GB RAM, 200 GB NVMe SSD, NVIDIA Jetson Orin AGX (64GB VRAM), 10 Gbps network. Recommended 256 GB RAM, 500 GB NVMe SSD RAID, dual 10 Gbps paths.

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.

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-maverick and https://ollama.com/Thox-ai/thox-cluster-maverick
• 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_maverick_2025,
  title = {Thox.ai Cluster Maverick - Enterprise MagStack Distributed AI},
  author = {Thox.ai LLC},
  year = {2025},
  url = {https://huggingface.co/Thox-ai/thox-cluster-maverick},
  note = {Runnable build: https://ollama.com/Thox-ai/thox-cluster-maverick}
}

Your AI. Your Data. Your Rules.™