20 Downloads Updated 1 week ago
ollama run Thox-ai/thoxmeshgroup-32b
ollama launch claude --model Thox-ai/thoxmeshgroup-32b
ollama launch opencode --model Thox-ai/thoxmeshgroup-32b
ollama launch hermes --model Thox-ai/thoxmeshgroup-32b
ollama launch openclaw --model Thox-ai/thoxmeshgroup-32b
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.
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.
| 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 |
| 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.
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
| 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) |
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.
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.
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.
THOX brand principle: Your AI. Your Data. Your Rules.™”
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.
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
THOX MeshStack Community Mesh: Opt-In User-Contributed Hardware for a Privacy-Centric Shared Computing and Distributed Inference Mesh
THOX.ai Research technical report v1.0.0, 10 November 2026. Craig Ross and Tommy Xaypanya, THOX.ai LLC. DOI: https://doi.org/10.5281/zenodo.24115596 — GitHub: https://github.com/ttracx/thox-community-meshstack-paper — PDF: https://huggingface.co/datasets/Thox-ai/thox-whitepapers/resolve/main/community-meshstack/THOX_Community_MeshStack_Research_Paper_v1.0.0.pdf
Apache-2.0. The base model is Apache-2.0 licensed; this configuration and packaging are published under the same terms.
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.
@misc{thoxai2026thoxmeshgroup32b,
title={ThoxMeshGroup-32B},
author={THOX.ai},
year={2026},
url={https://huggingface.co/Thox-ai/ThoxMeshGroup-32B}
}