Rebuild model card to TXF-MP standard (exemplar anatomy): lockup descriptor restored in full where truncated, Highlights expanded from card facts, section names normalized, Kickstarter banner removed

README.md

@@ -38,12 +38,6 @@ tags:
 | ![License](https://img.shields.io/badge/License-Apache_2.0-05A451) | ![Params](https://img.shields.io/badge/Params-32B-05A451) | ![Base](https://img.shields.io/badge/Base-Qwen2.5--Coder--32B--Instruct-05A451) | ![Access](https://img.shields.io/badge/Access-Public-05A451) |
 |---|---|---|---|
 
-**Run it:** [Ollama — Thox-ai/thox-cluster-code`](https://ollama.com/Thox-ai/thox-cluster-code`) · **Find your model:** [THOX Model Factory](https://www.thox.ai/models) · **Collection:** [Code Models](https://huggingface.co/collections/Thox-ai/thox-code-models-6ae7518c544bc6b0fd740cd4)
-
-<div align="center">
-<a href="https://www.kickstarter.com/projects/thox/four-devices-one-private-ai-ecosystem-thoxai?ref=4tzhm0"><img src="https://huggingface.co/spaces/Thox-ai/README/resolve/main/back-thox-on-kickstarter.jpg" alt="Back THOX on Kickstarter" width="520"></a>
-</div>
-
 > **Your AI. Your Data. Your Rules.™**
 
 > **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.
@@ -52,17 +46,19 @@ tags:
 
 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 Terms).
+> **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 Terms)
+**License:** Apache License 2.0 (see License)
 
 
 ## Highlights
 
-- A THOX configuration and distribution of Qwen2.5-Coder 32B for local software-engineering work and MeshStack deployments.
+- **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
 
@@ -110,13 +106,13 @@ runtime configuration, and this documentation.
 | Quantization | Q4_K_M (GGUF) |
 | Languages | 92 programming languages (per Alibaba's model record) |
 
-## Intended Use
+## 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
 
-## How to Use
+## Run it
 
 ```bash
 ollama pull Thox-ai/thox-cluster-code
@@ -133,9 +129,9 @@ based on lives there in full.
 
 | Platform / device | Run path |
 |---|---|
-| Ollama (laptop / desktop) | `ollama run Thox-ai/thox-cluster-code`` |
+| Ollama (laptop / desktop) | `ollama run Thox-ai/thox-cluster-code` |
 | Hugging Face | Download the builds listed under Files from this repo (see Run it) |
-## Training Data and Procedure
+## 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
@@ -176,9 +172,9 @@ Per device: minimum 32 GB RAM, 30 GB storage, NVIDIA Jetson Orin AGX class GPU (
 
 **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.ai Research technical report v1.0.1, 3 November 2026. Craig Ross and Tommy Xaypanya, THOX.ai LLC. DOI: https://doi.org/10.5281/zenodo.23919580 — Paper page: https://thox.ai/research/papers/meshstack — PDF: https://huggingface.co/datasets/Thox-ai/thox-whitepapers/resolve/main/meshstack/THOX_MeshStack_Research_Paper_v1.0.1.pdf
 
-## License Terms
+## 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
@@ -211,5 +207,4 @@ only, not to the weights.
 }
 ```
 
-**Thox.ai LLC - Frontier AI. Complete Privacy. Your Infrastructure.**
 **Your AI. Your Data. Your Rules.™**