---
license: other
license_name: model-public-preview-licence-v1.0
license_link: https://huggingface.co/rotextechnologies/rotexmech-8B/blob/main/license.md
language:
  - en
base_model:
  - Qwen/Qwen3-8B
tags:
  - gguf
  - q4_k_m
  - public-preview
  - evaluation
  - ai
  - engineering
  - mechanical-engineering
  - technical-consultancy
  - industrial-ai
  - qwen3
pipeline_tag: text-generation
library_name: llama.cpp
datasets: []
metrics: []
---

> **⚠️ PUBLIC PREVIEW — NOT OPEN SOURCE.** This is a controlled evaluation release. Commercial use, hosted inference, derivative model creation, fine-tuning, distillation, and redistribution are **not permitted** without a separate written commercial licence from Rotex Technologies Ltd. See [license.md](./license.md).

---

# RotexMech-8B — Public Preview GGUF Model

## 1. Executive Summary

**RotexMech-8B** is a public preview GGUF release developed by **Rotex Technologies Ltd** — a UK-based digital manufacturing, engineering services specialising in CFD, FEA, and technical consultancy across the nuclear, aerospace, automotive, marine, wind, solar, energy storage, and oil & gas sectors.

RotexMech-8B is fine-tuned from the **Qwen3-8B** base model, with a training and evaluation focus on **mechanical engineering** domains — structural integrity, materials and corrosion, thermal and fluid systems, dynamics and tribology, manufacturing and DFMA, reliability and lifecycle, rotating equipment diagnostics, and pressure systems integrity.

This release provides a **Q4_K_M** quantised model (`RotexMech-8B-q4_k_m.gguf`) intended to demonstrate the capability of our wider commercial model family, whilst preserving our proprietary full‑precision weights, training pipeline, domain‑specific datasets, and deployment optimisations.

### ✅ This model is suitable for:
- Local, offline evaluation and experimentation
- Technical benchmarking against publicly reported metrics
- Early-stage customer and partner feedback
- Investor and technical due diligence
- Edge and air-gapped inference testing
- Academic and industry technical review

### ❌ This model is not licensed for:
- Commercial deployment or production use
- Hosted inference, SaaS, or API services
- Fine‑tuning, distillation, or adapter training
- Derivative model creation of any kind
- Redistribution at scale or mirroring
- Use as a component in a competing product or service

**For commercial access, evaluation under NDA, or partnership discussions, contact:**
📧 [sales@rotextechnologies.com](mailto:sales@rotextechnologies.com)


## 2. Why This Model Exists

Most current models in this parameter class are either:
- too large for practical edge and offline deployment;
- too generic for specialist industrial and engineering use;
- costly to host and difficult to validate in regulated environments;
- trained on data of unknown provenance, creating unacceptable IP and compliance risk;
- unsuitable for controlled, auditable engineering workflows.

**Rotex Technologies Ltd** is building a model family focused on:

- **Domain precision** — trained and evaluated on curated mechanical and industrial engineering literature and case material, spanning structural, thermal, materials, dynamics, manufacturing, reliability, and rotating/pressure equipment topics;
- **Deployability** — designed for edge, air-gapped, and resource-constrained environments from the outset;
- **Auditability** — built for workflows where traceability, provenance, and controlled outputs matter;
- **Data security and privacy** — fully air-gapped development pipeline; all processes, from raw document ingestion to model build, are isolated from the internet, ensuring complete confidentiality of datasets and training corpora;
- **Commercial clarity** — a transparent licensing model that respects both open evaluation and proprietary IP.

This public preview is a **release in our production model pipeline** — a controlled, quantised snapshot sufficient for meaningful technical evaluation without compromising our proprietary training assets, architecture, or development IP.


## 3. Target Audience

This preview is intended for:

| Audience | Purpose |
|---|---|
| **Technical evaluators** | Assess model capability, quality, and behaviour |
| **Engineering teams** | Test domain-specific performance on representative mechanical engineering tasks |
| **Enterprise innovation groups** | Evaluate fit within controlled internal workflows |
| **Investors & due diligence teams** | Conduct independent technical assessment |
| **Research partners** | Explore collaboration potential |
| **Early design partners** | Inform commercial roadmap and integration requirements |

It is **not** intended for, and not licensed for, production deployment of any kind.

## 4. Model Details

| Field | Detail |
|---|---|
| **Model name** | RotexMech-8B |
| **File name** | `RotexMech-8B-q4_k_m.gguf` |
| **Base model** | Qwen3-8B |
| **Release type** | Public preview (evaluation only) |
| **File format** | GGUF |
| **Quantisation** | Q4_K_M |
| **Primary language** | English |
| **Domain focus** | Mechanical engineering — structural integrity, materials, thermal/fluids, dynamics, manufacturing/DFMA, reliability, rotating equipment, pressure systems |
| **Release date** | *3 August 2026* |
| **Pipeline position** | Public preview release; higher-precision variants (BF16, Q8_0) available to qualified commercial customers |
| **Licence** | Model Public Preview Licence v1.0 |
| **Commercial use** | Not permitted without written licence from Rotex Technologies Ltd |
| **Developer** | Rotex Technologies Ltd, United Kingdom |


## 5. What Is Included — and What Is Not

### ✅ Public in this release:
- Q4_K_M GGUF model file
- Inference instructions for llama.cpp and compatible runtimes
- Evaluation prompts and example outputs
- Safety, limitation, and known-issue notes
- Public benchmark summary
- Full licence terms and acceptable use policy

### ❌ Not included in this release:
- Higher-precision model variants (BF16)
- Higher-quality quantisations (Q8_0)
- Training, fine‑tuning, or alignment datasets
- Fine‑tuning recipes, hyperparameters, or training code
- Internal evaluation harness and proprietary benchmarks
- Commercial deployment configuration and system prompts
- Domain‑specific commercial variants
- Any component that would enable derivative model creation

## 6. Permitted & Prohibited Uses

### ✅ Permitted (subject to licence terms):
- Local, non‑commercial evaluation and experimentation
- Technical benchmarking and comparison
- Academic and industry review and publication of fair results
- Internal proof‑of‑concept assessment
- Investor and partner due diligence

### ❌ Prohibited (without separate written commercial licence):
- Production deployment of any kind
- Commercial use, revenue generation, or cost reduction
- SaaS, API, or hosted inference services
- Fine‑tuning, distillation, merging, or adapter creation
- Training or improving any other model (competing or otherwise)
- Redistribution, mirroring, or repackaging at scale
- Any use violating the [Acceptable Use Policy](https://huggingface.co/rotextechnologiesuk/nuclear-sqep/blob/main/ACCEPTABLE_USE_POLICY.md)

Full terms: [license.md](./license.md)


## 7. Quick Start

### Prerequisites
- [llama.cpp](https://github.com/ggerganov/llama.cpp) (built with GPU acceleration recommended)
- Or any GGUF-compatible runtime (Ollama, LM Studio, etc.)

### Basic inference with llama.cpp

```bash
# Download the model file from this repository
# Then run:

./llama-cli \
  -m RotexMech-8B-q4_k_m.gguf \
  -p "Explain the key technical considerations for fatigue analysis in pressure vessel design." \
  -n 512 \
  --temp 0.6 \
  --ctx-size 2048
```

### Interactive mode

```bash
./llama-cli \
  -m RotexMech-8B-q4_k_m.gguf \
  --interactive \
  --temp 0.6 \
  --ctx-size 2048
```

### With Ollama

Create a `Modelfile`:

```dockerfile
FROM ./RotexMech-8B-q4_k_m.gguf
```

Then:

```bash
ollama create rotexmech-8b-preview -f Modelfile
ollama run rotexmech-8b-preview
```

### Suggested evaluation prompts

```
"Summarise the key failure modes of a welded joint in cooling water pipes under cyclic thermal loading."

"Outline a root-cause investigation approach for bearing overheating in a centrifugal pump."

"Explain the difference between hydrostatic and pneumatic pressure testing for a vessel returning to service after a repair, and the key precautions for each."
```


## 8. Evaluation & Benchmarking

We encourage independent benchmarking and technical review. When publishing results:

- ✅ Attribute the model as: **"RotexMech-8B by Rotex Technologies Ltd, used under the Model Public Preview Licence v1.0."**
- ✅ Be transparent about your evaluation methodology, prompt format, and sampling parameters.
- ✅ Publish both strengths and limitations.
- ❌ Do not imply endorsement, partnership, or certification by Rotex Technologies Ltd.
- ❌ Do not disclose any information that would enable reverse engineering or derivative model creation.
- ❌ Do not use model outputs to train or improve competing models.

### 8.1 MMLU-Pro benchmark

MMLU-Pro is a public, reasoning-focused extension of MMLU spanning 14 academic and technical domains. The figures below combine self-reported RotexMech-8B results with published third-party figures from **[qwen.ai](https://qwen.ai/)** and **TIGER-AI-Lab**, using the "Overall", "Engineering", and "Math" subsets.

![MMLU-Pro benchmark comparing RotexMech-8B against Qwen3-8B, Qwen3-8B-Instruct, Qwen2.5-14B, Qwen2.5-7B, and Llama-3.1-8B-Instruct on Math, Engineering, and Overall MMLU-Pro subsets](./mmlu-pro.png)

*Figure 1 — MMLU-Pro benchmark: Math, Engineering, and Overall subset scores.*

| Model | Overall | Engineering | Math | Data source |
|---|---|---|---|---|
| Qwen3-8B-Instruct | 0.683 | 0.567 | 0.676 | qwen.ai |
| Qwen2.5-14B | 0.637 | 0.495 | 0.679 | TIGER-AI-Lab |
| Qwen3-8B (base) | 0.594 | 0.484 | 0.602 | qwen.ai |
| **RotexMech-8B** | **0.595** | **0.500** | **0.745** | Self-reported |
| Qwen2.5-7B | 0.552 | 0.416 | 0.523 | qwen.ai |
| Llama-3.1-8B-Instruct | 0.443 | 0.297 | 0.438 | TIGER-AI-Lab |

### 8.2 In-house mechanical engineering benchmark

We also assess models against an **in-house mechanical engineering benchmarking tool**: 100 mechanical engineering questions spanning eight topic areas (structural/fatigue/fracture, materials/corrosion/joining, thermal/fluids/sealing, dynamics/vibration/tribology, manufacturing/DFMA/quality, reliability/safety/lifecycle, rotating equipment diagnostics, and pressure systems integrity), scored by a judge model out of 100.

![In-house mechanical engineering overall leaderboard showing mean judged score out of 100 for Qwen2.5-14B, Llama-3.1-8B, RotexMech-8B, Qwen2.5-7B, Qwen3-8B-Instruct, and Qwen3-8B-Base](./overall.png)

*Figure 2 — Overall mean judged score (100 in-house mechanical engineering questions). Source: in-house mechanical engineering benchmarking tool.*

| Model | Mean score / 100 | Non-zero coverage | Rank |
|---|---|---|---|
| Qwen2.5-14B | 58.2 | 88% | 1 |
| Llama-3.1-8B | 47.0 | 73% | 2 |
| **RotexMech-8B** | **43.1** | **56%** | **3** |
| Qwen2.5-7B | 40.2 | 59% | 4 |
| Qwen3-8B-Instruct | 31.5 | 40% | 5 |
| Qwen3-8B (base) | 28.3 | 35% | 6 |

![Capability radar chart comparing RotexMech-8B, Qwen3-8B-Base, Qwen3-8B-Instruct, Qwen2.5-14B, and Llama-3.1-8B across eight mechanical engineering topic areas](./capability.png)

*Figure 3 — Capability profile by mechanical engineering topic. Source: in-house mechanical engineering benchmarking tool. Read as a capability shape comparison rather than a standalone ranking.*

We welcome feedback on evaluation methodology, benchmark design, and domain coverage at:
📧 [info@rotextechnologies.com](mailto:info@rotextechnologies.com)

## 9. Known Limitations

As a public preview Q4_K_M quantised model, RotexMech-8B has the following known limitations:

- **Quantisation degradation** — Q4_K_M quantisation intentionally reduces fidelity compared to our full‑precision commercial models. Expect some degradation on nuanced technical reasoning and numerical precision.
- **No production safety guarantees** — This model has not undergone production safety alignment, red‑teaming, or adversarial robustness testing at commercial grade.
- **Benchmark coverage** — On the in-house mechanical engineering benchmark, RotexMech-8B returned a lower non-zero response coverage (56%) than several comparison models, and trails Qwen2.5-14B and Llama-3.1-8B on rotating equipment diagnostics. Results should be read topic-by-topic rather than from the overall score alone.
- **Domain coverage** — The model's knowledge reflects its training distribution. It may perform less well on topics outside mechanical and industrial engineering domains.
- **Hallucination** — Like all large language models, RotexMech-8B may generate plausible but factually incorrect output. **Never rely on model output for safety‑critical decisions without independent verification.**
- **No regulatory approval** — This model has not been assessed or approved by any regulatory body for use in safety‑critical or regulated applications.
- **Language** — Optimised for English. Performance in other languages is untested and may be unreliable.

**This model is an evaluation artefact. It is not a production‑ready, safety‑assured product.**


## 10. Safety & Responsible Disclosure

We take safety concerns seriously. If you discover:

- Generation of hazardous, dangerous, or illegal content
- Instructions that could cause physical harm
- Bypass of safety guardrails
- Biased, discriminatory, or harmful outputs
- Vulnerabilities that could be exploited
- Copyright or IP concerns in model outputs

Please report responsibly to:
📧 [info@rotextechnologies.com](mailto:info@rotextechnologies.com)

We commit to acknowledging reports within 5 working days and providing a substantive response within 20 working days. We request a 90‑day embargo before public disclosure of vulnerabilities to allow for assessment and mitigation.

**Do not use this model to generate, distribute, or facilitate content that would violate applicable laws in the United Kingdom, European Union, United States, People's Republic of China, or any other relevant jurisdiction.**


## 11. Citation

If you reference RotexMech-8B in academic or technical publications:

```bibtex
@software{rotex_rotexmech8b_2026,
  author = {{Rotex Technologies Ltd}},
  title = {RotexMech-8B — Public Preview GGUF Model},
  year = {2026},
  publisher = {Rotex Technologies Ltd},
  url = {https://huggingface.co/rotextechnologies/rotexmech-8B},
  note = {Model Public Preview Licence v1.0. Q4_K_M quantisation. Fine-tuned from Qwen3-8B.}
}
```

Suggested in-text attribution:
*"RotexMech-8B by Rotex Technologies Ltd, used under the Model Public Preview Licence v1.0."*


## 12. Commercial Access

This public preview is **not** licensed for commercial use. Our commercial offering includes:

- Higher-precision (BF16) and higher-quality quantised (Q8_0) model variants
- Domain‑specific fine‑tuned variants
- Commercial deployment licence
- SLAs, support, and integration assistance
- Access to proprietary evaluation tooling
- Custom development and bespoke model adaptation

**For commercial enquiries, partnership discussions, or evaluation under NDA:**
📧 [sales@rotextechnologies.com](mailto:sales@rotextechnologies.com)
🌐 [www.rotextechnologies.com](https://www.rotextechnologies.com)

See [COMMERCIAL_USE.md](https://huggingface.co/rotextechnologiesuk/nuclear-sqep/blob/main/COMMERCIAL_USE.md) for more detail.


## 13. Repository Documents

| Document | Description |
|---|---|
| [license.md](https://huggingface.co/rotextechnologies/rotexmech-8B/blob/main/license.md) | Full legal terms — Model Public Preview Licence v1.0 |
| [ACCEPTABLE_USE_POLICY.md](https://huggingface.co/rotextechnologiesuk/nuclear-sqep/blob/main/ACCEPTABLE_USE_POLICY.md) | Acceptable use policy and prohibited use categories |
| [COMMERCIAL_USE.md](https://huggingface.co/rotextechnologiesuk/nuclear-sqep/blob/main/COMMERCIAL_USE.md) | Commercial licensing pathway and FAQ |

---

## 14. Acknowledgements

RotexMech-8B is fine-tuned from the **Qwen3-8B** base model. Benchmark comparisons in Section 8.1 draw on published and self-reported data from **[qwen.ai](https://qwen.ai/)** and **[TIGER-AI-Lab](https://github.com/TIGER-AI-Lab)** (MMLU-Pro leaderboard). We gratefully acknowledge these organisations for their open publication of model architectures and benchmark results, which support transparent, independent evaluation across the field. Inclusion of third-party figures does not imply endorsement of RotexMech-8B by qwen.ai or TIGER-AI-Lab.

---

*© Rotex Technologies Ltd. All rights reserved. Rotex Technologies Ltd is a company registered in England and Wales.*