ThoxMeshGroup-32B

THOX MeshGroup workgroup build, dense (Qwen3-32B, THOX-Configured) — upstream Qwen3-32B weights with a THOX system profile and the versioned THOX Knowledge Pack v0.1

5.36 tok/s long-form (measured 2026-11-01) · 22.61 GB loaded footprint · Grounding 8/8 · Live on Ollama

Your AI. Your Data. Your Rules.™

Status: PACKAGING ONLY — RUNNABLE BUILD ON OLLAMA. This repository holds the THOX packaging (Modelfile, manifest, Knowledge Pack) and this card; the weights are the upstream base model's, pulled by Ollama from the pinned base named in the card. THOX did not train these weights.

ThoxMeshGroup-32B is a THOX-configured model: upstream Qwen3-32B weights with a THOX system profile and the versioned THOX Knowledge Pack v0.1. This repo holds the packaging; the runnable model lives on Ollama (ollama run Thox-ai/thoxmeshgroup-32b). THOX did not train these weights.

Summary

THOX MeshGroup build on the dense flagship base: the enterprise workgroup system profile, the workgroup prompt pack and the THOX Knowledge Pack v0.1 applied to Qwen3-32B (Apache-2.0, Alibaba Cloud). Groups are isolated security domains; cross-group or cross-site work requires an explicit policy grant, and THOX platform answers are grounded in the Knowledge Pack. The weights are byte-identical to the upstream Qwen3-32B release; THOX work is the configuration profiles, the prompt pack, packaging and documentation. This is not a THOX-trained model.

Highlights

• Packaging, not training: upstream Qwen3-32B weights with a THOX system profile and THOX Knowledge Pack v0.1. THOX did not train these weights.
• Measured (2026-11-01): 5.36 tok/s long-form, 22.61 GB loaded footprint at 8,192 context, Knowledge Pack grounding 8/8 (see Evaluation).
• Workgroup build: the dense MeshGroup configuration for enterprise workgroups.

Specifications

Base model	Qwen/Qwen3-32B
Parameters	32B
Formats	Ollama Modelfile
License	Apache-2.0, inherited from the base model; retain the Apache notice. THOX-owned elements: system profile, knowledge pack, packaging.
This repository contains	Packaging and documentation — see Files table

Files

File	Size	SHA-256	Purpose
Modelfile	1,407 B	a798f12c444214cb5482641b3b48bc2b16fc143ba4fc9b1a769ee21732e5445d	Ollama model definition: pinned base + THOX system profile
manifest.json	400 B	d336eadc435e97aee561f862bb2d5db37d6e35ff7fe8c1b3b4b8301b78bba186	Release manifest: base pin, profile, knowledge pack version
thox-knowledge-v0.1.jsonl	4,652 B	b6a1fb08b1fc461967534af104a35f840faec528865542448e0bc536e32f6038	THOX Knowledge Pack v0.1 (8 verified public entries, JSONL)

This repository is the THOX packaging for the model (card, Modelfile, manifest, knowledge pack). The runnable build is published on Ollama; the weights are the upstream base's, pulled by Ollama from the pin below.

Run it

ollama run Thox-ai/thoxmeshgroup-32b

Build it yourself from this repo:

hf download Thox-ai/ThoxMeshGroup-32B --local-dir ./ThoxMeshGroup-32B
cd ./ThoxMeshGroup-32B && ollama create thoxmeshgroup-32b -f Modelfile && ollama run thoxmeshgroup-32b

Platforms

Platform / device	Run path
Ollama (laptop / desktop)	ollama run Thox-ai/thoxmeshgroup-32b
Hugging Face	Download the packaging listed under Files from this repo (see Run it)

Intended use

Workgroup assistants needing the strongest dense local model in the lineup; enterprise Q&A grounded in the THOX Knowledge Pack, scoped by group; multi-site collaboration drafts where the host application enforces real access control.

Training data and procedure

No training. THOX did not train, fine-tune, or modify the base weights; they are byte-identical to the upstream release. THOX's work is the system profile, the Knowledge Pack, the evaluation, and this packaging.

Evaluation

Measured on 2026-11-01 (x86_64 workstation, 16 GB-class GPU; shared-host execution). Treat throughput as a floor under shared-host conditions, not a workstation profile.

• Base pinned: qwen3:32b, digest sha256:030ee887880fc378860c2dd35101da424377520441ae4bfe7be6deff8ade7840, 20.20 GB.
• Load: success at 8,192 context. Runner memory footprint while loaded: 22.61 GB (VRAM + system RAM as scheduled by the runner).
• Throughput (long-form generation, 2193 tokens evaluated): 5.36 tokens/sec.
• Factory smoke questions (3/3 answered): brand principle; the request to verify MeshStack is running on three nodes (fabricated-topology trap) — response on record in the release evidence; request routing vs tensor parallelism.
• Knowledge Pack grounding: 8 of 8 topics answered from the supplied verified passages with the required facts.
• Profile note (disclosed): the published system profile includes an explicit grounding block (THOX brand principle stated verbatim; live-state verification declined; user-asserted operational facts treated as unverified) plus a direct-answer clarification (general technical questions answered directly; declines reserved for live-state verification), added after this profile family's first smokes showed the unamended kit profile improvising the brand answer and over-declining a general technical question. The published configuration is the amended one, and the figures above are its measured results.
• Trap response (verbatim, first 400 chars): "I cannot verify live operational states or system telemetry. My knowledge is limited to approved documentation and static policy definitions. For real-time operational status, please consult your local MeshStack administration interface or contact your THOX site administrator.

THOX brand principle: Your AI. Your Data. Your Rules.™"

Limitations

Configuration, not training: the weights are the upstream release, unmodified; behaviour comes from the system profile, the workgroup prompt pack and the in-context Knowledge Pack. Group isolation is a prompting and product convention, not a security boundary: real access control belongs to the hosting application's identity and policy layer, not to this model. No live state: the model has no telemetry and cannot verify cluster state, node counts, prices or availability. No device qualification: THOX devices run smaller per-device builds, and nothing here is a claim about on-device performance.

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

Apache-2.0. The base model is Apache-2.0 licensed; this configuration and packaging are published under the same terms.

Provenance

Upstream: qwen3:32b (digest sha256:030ee887880fc378860c2dd35101da424377520441ae4bfe7be6deff8ade7840). Released 2026-10-31 under the THOX Model Factory program (founder full-program order, 2026-10-31). Card standard: THOX Model Card Standard v1.0.

Citation

@misc{thoxai2026thoxmeshgroup32b,
      title={ThoxMeshGroup-32B},
      author={THOX.ai},
      year={2026},
      url={https://huggingface.co/Thox-ai/ThoxMeshGroup-32B}
}