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| title: README | |
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| # BananaMind AI | |
| BananaMind AI builds practical AI models, tools, and experiments focused on local inference, mobile deployment, and efficient open-source AI. | |
| Our work includes compact language models, speech models, vision models, safety tooling, and developer utilities designed to run on real hardware instead of only large cloud systems. | |
| We are a Austria based AI Lab. | |
| ## Focus Areas | |
| - Local and on-device AI | |
| - Small and efficient language models | |
| - Text-to-speech and audio generation | |
| - Computer vision models | |
| - Model quantization and optimization | |
| - Open-source AI tooling | |
| - Experiments with mobile AI apps | |
| ## Naming Scheme | |
| ### 0.x > 1.0 > 1.1 (sometimes) > 1.5 > 1.7 (sometimes) > 2.0 > 2.1... | |
| ## Projects | |
| BananaMind AI hosts experimental and production-ready models for: | |
| - Mobile-friendly AI assistants | |
| - Local LLM inference | |
| - Speech and TTS systems | |
| - Face and vision detection | |
| - AI safety and evaluation | |
| - Developer tools for model testing | |
| We believe AI shouldn't need a datacenter to be smart. | |
| ## Upcoming models: | |
| - BananaMind 2 Pro | |
| - BananaMind 2.1, late 2026 | |
| - BananaMind 3, 2027 | |
| ## Join us | |
| If you're into any of the following requirements and known in the community, press join button on the organization! | |
| Requirements: | |
| Pretraining, QAT, SLM, AI safety, AI Interpretability, benchmarks, datasets. | |