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| emoji: π | |
| colorTo: green | |
| # Open Synapse Labs | |
| **Intelligence that amplifies humans. Not replaces them.** | |
| Open Synapse Labs builds efficient AI systems for local deployment on consumer hardware. Focus on practical utility, speed, and minimal resource requirements. | |
| [](https://huggingface.co/opensynapselabs) | |
| [](https://github.com/OpenSynapseLabs) | |
| π§ **Contact:** opensynapselabs@proton.me | |
| --- | |
| ## What we do | |
| - **Local models** β run without API keys or cloud, data stays on device | |
| - **Efficient architectures** β MoE and sparse systems for high performance at low VRAM usage | |
| - **Adaptive training** β fine-tune and adapt models for specific tasks | |
| - **Practicality** β minimal setup, maximum result | |
| --- | |
| ## Why this matters | |
| Most AI today is: | |
| - centralized and requires internet | |
| - expensive (API costs) | |
| - opaque in data handling | |
| We provide an alternative: models that run on your GPU/CPU, send no data externally, and require no subscription. | |
| --- | |
| ## How to contribute | |
| We are open to contributors. No contracts or interviews needed β if the product is useful to you, improve it and use it yourself. | |
| **What we need:** | |
| - Fine-tuning models (more data, longer context) | |
| - Inference optimization (quantization, caching) | |
| - CLI tools and integrations | |
| - Documentation and usage examples | |
| **How to join:** | |
| 1. Follow this invite link: [Join Open Synapse Labs on Hugging Face](https://huggingface.co/organizations/opensynapselabs/share/XVpaVoalCbVyvwiBUaFiBiatCtVjnvmXuQ) | |
| 2. New members get **read access** by default β you can view and download all models | |
| 3. We promote active contributors to **write access** manually | |
| > π‘ Include your GitHub and skills when reaching out β this speeds up promotion to write access. | |
| --- | |
| ## Organic growth | |
| We do not use paid advertising. Growth comes through: | |
| - Open repositories and reproducible results | |
| - Published benchmarks and comparisons | |
| - Developer community sharing experience | |
| If a model was useful β tell others about it. This is the best support for the project. | |
| --- | |
| **Open Synapse Labs** | |
| *Practical AI for real work.* |