A THOX configuration and distribution of Alibaba Cloud's Qwen3 235B MoE, the largest model in the MagStack cluster family, published for local inference and MeshStack deployments. Apache-2.0.

Thox-Cluster-Maverick — Enterprise-Scale Configuration (Qwen3 235B MoE, THOX-Configured)

Your AI. Your Data. Your Rules.™

Thox-Cluster-Maverick is a THOX configuration and distribution of Alibaba Cloud’s Qwen3 235B MoE, the largest model in the MagStack cluster family, published for local inference and MeshStack deployments. The weight layer in this model’s Ollama manifest is byte-identical to the upstream provider’s Ollama weight layer (qwen3:235b). THOX’s work in this release is the MeshStack clustering layer these configurations were made for, configuration (runtime parameters and, where present, a system prompt), packaging, and distribution. THOX did not train these weights.

Correction notice. This page previously claimed 99.99% uptime and seven-figure annual savings 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; figures of that kind that appeared on earlier versions of this page were inherited catalog copy and have been removed pending THOX-run evaluation on THOX deployments. Earlier versions of this page also stated the license as MIT; that was incorrect (see License).

Run it

Ollama (published model)

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

Summary

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

Specification	Details
Base model	Qwen3 235B MoE by Alibaba Cloud
Parameters	235.1B total (config model_type), qwen3moe family; 22B active per the base model record
Quantization	Q4_K_M (GGUF file_type in the manifest config)
Context window (served)	131,072 tokens, from the params layer (num_ctx) in this model’s Ollama manifest. The Ollama page tag display of 256K is a display artifact and does not describe the served configuration.
Deployment	Local inference via Ollama; distributed orchestration via MeshStack (separate from this download)

The published Ollama model Thox-ai/thox-cluster-maverick is 142 GB.

Intended use

Local inference through Ollama for enterprise-scale work, on hardware that fits a 235B Q4-class model:

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

Downloading this model gives you local inference in Ollama. Distributed orchestration across devices is provided by MeshStack; a model download alone does not create a cluster or pool memory across devices.

Training data and procedure

No training by THOX. Base: Qwen/Qwen3-235B-A22B by Alibaba Cloud, via Ollama tag qwen3:235b. 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

No THOX-run evaluation has been published for this model. THOX claims no benchmark, throughput, latency, concurrency, or uptime figure for this release. This section will be updated with method and results when a THOX-run evaluation lands.

Hardware Reference (from the original card)

Reference configuration from the original card, per device: minimum 128 GB RAM, 200 GB NVMe SSD, NVIDIA Jetson Orin AGX class GPU (64GB VRAM), 10 Gbps network. Recommended 256 GB RAM, 500 GB NVMe SSD RAID, dual 10 Gbps paths.

Limitations

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

License

The model weights are distributed under the Apache License 2.0 (license layer in this model’s Ollama manifest, from the upstream qwen3:235b distribution; the layer’s appendix carries Alibaba Cloud’s copyright notice). Earlier versions of this page stated MIT; that was incorrect. THOX claims no license over the weights beyond the upstream terms.

MagStack and MeshStack technology is proprietary to Thox.ai LLC. Publication of this model does not license THOX mesh technology, patents, or trademarks beyond identifying the model.

Provenance

THOX MeshStack Cluster family. 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. Upstream: Qwen/Qwen3-235B-A22B, Ollama tag qwen3:235b; the weight layer is byte-identical to the upstream provider’s Ollama weight layer (SHA-256 verified in the 2026-10-31 release review). Model card: https://huggingface.co/Thox-ai/thox-cluster-maverick. Correction history: inherited catalog claims (99.99% uptime, seven-figure savings and concurrency figures) removed and the license statement corrected from MIT to Apache-2.0, as recorded in the correction notice above. Enterprise: enterprise@thox.ai.