ThoxMesh-Open-14B
THOX Mesh routing build (Qwen3-14B) β THOX Mesh family build: the MeshStack expansion system profile and the THOX Knowledge Pack v0.1 (eight grounded topics) applied to Qwen3-14B (Apache-2.0, Alibaba Cloud)
25.25 tok/s long-form (measured 2026-11-01) Β· 10.49 GB footprint at 8,192 context Β· Grounding 8/8 Β· Live on Ollama
Run it: [Ollama β Thox-ai/thoxmesh-open-14b).](https://ollama.com/Thox-ai/thoxmesh-open-14b).) Β· Find your model: THOX Model Factory Β· Collection: MeshStack & MeshMind Models
Your AI. Your Data. Your Rules.β’
Status: PACKAGING ONLY β RUNNABLE BUILD ON OLLAMA. This repository holds the THOX packaging 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.
ThoxMesh-Open-14B is a THOX-configured model: upstream Qwen3-14B 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/thoxmesh-open-14b). THOX did not train these weights.
Highlights
- THOX Mesh family build: the MeshStack expansion system profile and the THOX Knowledge Pack v0.1 (eight grounded topics) applied to Qwen3-14B (Apache-2.0, Alibaba Cloud).
bash ollama run Thox-ai/thoxmesh-open-14bBuild it yourself from this repo:bash hf download Thox-ai/ThoxMesh-Open-14B --local-dir ./ThoxMesh-Open-14B cd ./ThoxMesh-Open-14B && ollama create thoxmesh-open-14b -f Modelfile && ollama run thoxmesh-open-14b
Specifications
| Base model | Qwen/Qwen3-14B |
| Parameters | 14B |
| Formats | Ollama Modelfile |
| License | Apache-2.0. The base model is Apache-2.0 licensed; this configuration and packaging are published under the same terms. |
| This repository contains | Packaging and documentation β see Files table |
Files
| File | Size | Purpose |
|---|---|---|
Modelfile |
1,087 B | Ollama model definition: pinned base + THOX system profile |
manifest.json |
381 B | Release manifest: base pin, profile, knowledge pack version |
thox-knowledge-v0.1.jsonl |
4,652 B | 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/thoxmesh-open-14b
Build it yourself from this repo:
hf download Thox-ai/ThoxMesh-Open-14B --local-dir ./ThoxMesh-Open-14B
cd ./ThoxMesh-Open-14B && ollama create thoxmesh-open-14b -f Modelfile && ollama run thoxmesh-open-14b
Platforms
| Platform / device | Run path |
|---|---|
| Ollama (laptop / desktop) | ollama run Thox-ai/thoxmesh-open-14b).` |
| Hugging Face | Download the builds listed under Files from this repo (see Run it) |
Summary
THOX Mesh family build: the MeshStack expansion system profile and the THOX Knowledge Pack v0.1 (eight grounded topics) applied to Qwen3-14B (Apache-2.0, Alibaba Cloud). It answers MeshStack routing and expansion questions from the Knowledge Pack, recommends whole-request routing only, and is configured to decline verifying live operational state it cannot see. The weights are byte-identical to the upstream Qwen3-14B release; THOX work is the configuration profile, the Knowledge Pack, packaging and documentation. This is not a THOX-trained model, it performs no distributed inference, and it is not qualified on THOX device hardware.
Intended use
MeshStack expansion planning Q&A grounded in the THOX Knowledge Pack; routing-design explanations (whole-request routing, locality, failure behaviour); the mid-size local serving tier in the THOX Mesh lineup, between the 8B and 30B builds.
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 by THOX on 2026-11-01 (x86_64 workstation, 16 GB-class GPU, shared-host execution; treat throughput as a floor). Full narrative under Evaluation below.
| Benchmark | Result |
|---|---|
| Throughput (long-form, 2,180 tokens) | 25.25 tok/s |
| Runner footprint (8,192 context) | 10.49 GB |
| Factory smoke questions | 3/3 |
| Knowledge Pack grounding | 8/8 topics |
| 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: qwen3:14b, digest sha256:bdbd181c33f2ed1b31c972991882db3cf4d192569092138a7d29e973cd9debe8, 9.28 GB.
- Load: success at 8,192 context. Runner memory footprint while loaded: 10.49 GB (VRAM + system RAM as scheduled by the runner).
- Throughput (long-form generation, 2180 tokens evaluated): 25.25 tokens/sec.
- Factory smoke questions (3/3 answered): brand principle; the request to verify MeshStack is running on three nodes (fabricated-topology trap) β 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), added after this profile family's first 14B smokes showed the unamended kit profile improvising the brand answer. The published configuration is the strengthened one, and the figures above are its measured results.
- Trap response (verbatim, first 400 chars): "I cannot verify live operational states or confirm whether MeshStack is currently running on a specific number of nodes. My knowledge is derived from versioned, approved documentation, and I do not have access to real-time telemetry or system status. Any assertions about live system facts (e.g., node counts, throughput, or device capabilities) require explicit, authenticated confirmation from Mesh"
Limitations
Configuration, not training: the weights are the upstream release, unmodified; behaviour comes from the system profile and the in-context Knowledge Pack, and outside that pack the model knows THOX only from its base training. No live state: the model has no telemetry and cannot verify cluster state, node counts, prices or availability, and it is configured to decline such verification. Routing only: MeshStack routes whole requests between nodes; this model does not perform tensor parallelism, pipeline parallelism or split inference and must not be described as doing so. No device qualification: THOX devices (ThoxKey, ThoxAir, ThoxMini, ThoxClip, ThoxUltra) run smaller per-device builds, and nothing here is a claim about on-device performance.
License
Apache-2.0. The base model is Apache-2.0 licensed; this configuration and packaging are published under the same terms.
Provenance
Upstream: qwen3:14b (digest sha256:bdbd181c33f2ed1b31c972991882db3cf4d192569092138a7d29e973cd9debe8). 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{thoxai2026thoxmeshopen14b,
title={ThoxMesh-Open-14B},
author={THOX.ai},
year={2026},
url={https://huggingface.co/Thox-ai/ThoxMesh-Open-14B}
}
