AI & ML interests
To Support The Democratization of Foundational Intelligence
🌿 Our Mission: Sovereignty & Sustainability
At CQ Systems, we believe that the future of intelligence must be decentralized. The current trajectory of AI development relies heavily on massive, energy-intensive data centers that centralize power and compromise privacy. We are working to break this cycle through two core pillars:
🌍 Ecological Responsibility
By optimizing state-of-the-art models for consumer hardware, edge devices, and advanced silicon architectures, we aim to reduce the global reliance on hyper-scale data centers. Moving computation from massive server farms to local, efficient execution minimizes the carbon footprint of AI inference, promoting a more sustainable digital ecosystem.
🔐 Privacy & Assured Execution
We are pushing privacy and assured execution back into the hands of the user. By enabling frontier-level models to run locally, we eliminate the need to transmit sensitive data to third-party clouds. This approach significantly reduces the regulatory hurdles associated with data retention and privacy compliance, empowering individuals and organizations to maintain absolute control over their own systems and information.
We aren't just optimizing weights; we are democratizing foundational intelligence.
🛠 Our Work
We specialize in highly optimized GGUF quantizations of top-tier foundation models. Our current focus is on the Google Gemma 4 family, providing a spectrum of models that balance extreme memory efficiency with uncompromising reasoning capabilities.
🌟 Model Repositories
| Model Repository | Size / Type | Use Case |
|---|---|---|
| Google-Gemma-4-31B-It-GGUF | 31B Dense | The heavyweight flagship; compressed for local execution without sacrificing frontier reasoning. |
| CQ-Gemma-4-26B-A4B-It-GGUF | 26B (Active 4B) | A precision-engineered balance of depth and efficiency for high-performance local tasks. |
| Google-Gemma-4-E4B-It-GGUF | 8B (4.5B Active) | Our most popular release. Optimized via iMatrix for Apple Silicon and edge devices. |
| Google-Gemma-4-E2B-It-GGUF | 5B (2.3B Active) | Ultra-lightweight and lightning fast; purpose-built for constrained memory environments. |
🤝 Connect with Us
- 🌐 Website: cqurity.ai
- 💡 Interests: AI, Machine Learning, Quantization, Local LLMs, Model Optimization, Edge Computing
Building the future of local AI, one optimized tensor at a time.