thox-cluster-code

THOX configuration of Qwen2.5-Coder-32B-Instruct — a THOX configuration and distribution of Qwen2.5-Coder 32B for local software-engineering work 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 Qwen2.5-Coder 32B for local software-engineering work and MeshStack deployments. Configuration-derived: THOX did not train these weights. Qwen2.5-Coder is Alibaba's code-specialized model family; per Alibaba's model record it covers 92 programming languages.

Correction notice. This card previously described the model as "GPT-4o competitive" and quoted an Aider score and team ROI figures; those were inherited catalog claims with no THOX-run evaluation 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-code Base model: Qwen2.5-Coder 32B by Alibaba Cloud Runnable build: Ollama - ollama run Thox-ai/thox-cluster-code License: Apache License 2.0 (see License)

Highlights

• Configuration, not training: a THOX configuration and distribution of Qwen2.5-Coder-32B-Instruct for local software-engineering work and MeshStack deployments. THOX did not train these weights; the THOX work is the configuration, clustering layer, and documentation.
• Code-specialized base: Qwen2.5-Coder covers 92 programming languages per Alibaba's model record.
• Runnable build on Ollama: ollama run Thox-ai/thox-cluster-code. 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

• Software teams analysing repositories and reviewing code locally
• Startups and DevOps teams prototyping and working with infrastructure-as-code
• QA and test-automation assistance on private codebases

Run it

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

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-code - 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 THOX-run evaluation has been published for this model. Catalog claims that appeared here previously (an Aider score and a GPT-4o comparison) were removed; they were inherited catalog claims with no THOX-run evaluation behind them.

Limitations

• Specialized for software engineering; not a general-purpose chat model

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

• Generated code requires human review before production use

• 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 32 GB RAM, 30 GB storage, NVIDIA Jetson Orin AGX class GPU (32GB VRAM), 10 Gbps network for clustered use. Recommended 64 GB RAM, 50 GB NVMe SSD.

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-code and https://ollama.com/Thox-ai/thox-cluster-code
• 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_code_2025,
  title = {Thox.ai Cluster Code - Software Engineering MagStack Distributed AI},
  author = {Thox.ai LLC},
  year = {2025},
  url = {https://huggingface.co/Thox-ai/thox-cluster-code},
  note = {Runnable build: https://ollama.com/Thox-ai/thox-cluster-code}
}

Your AI. Your Data. Your Rules.™