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--- |
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title: NullAI - Revolutionary Knowledge System |
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emoji: 🌟 |
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colorFrom: blue |
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colorTo: green |
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sdk: gradio |
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sdk_version: 4.44.0 |
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app_file: app.py |
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pinned: false |
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license: mit |
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tags: |
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- knowledge-graph |
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- spatial-memory |
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- expert-verification |
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- multi-domain |
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- medical |
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- legal |
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- programming |
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- science |
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- educational-ai |
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--- |
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# 🌟 NullAI: Revolutionary Multi-Domain Knowledge System |
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**Transparent, Verifiable, Expert-Authenticated AI** |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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## About This Demo |
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This is a lightweight demonstration interface for NullAI. For full functionality and source code, see the complete model: |
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**Model**: [kofdai/nullai-deepseek-r1-32b](https://huggingface.co/kofdai/nullai-deepseek-r1-32b) |
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## Key Features |
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- **Knowledge Tile System**: Structured knowledge with spatial coordinates |
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- **3D Spatial Memory**: Organized by abstraction, expertise, and temporality |
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- **Multi-Stage Judge System**: Three-tier verification (Alpha, Beta Basic, Beta Advanced) |
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- **ORCID Expert Verification**: Expert-authenticated knowledge |
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- **Database Isolation**: Separate DBs for each domain |
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- **Rapid Specialization**: Create domain-specific LLMs in hours |
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## Create Specialized LLMs |
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- **Educational LLMs**: Mathematics, science, language learning |
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- **Medical LLMs**: Clinical decision support, diagnostics |
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- **Legal LLMs**: Contract analysis, regulatory compliance |
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- **Enterprise LLMs**: Custom knowledge bases |
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- **Research LLMs**: Methodology, literature review, data analysis |
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## Performance |
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- Base Model: DeepSeek-R1-Distill-Qwen-32B (32.7B parameters) |
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- Quantization: 4-bit MLX (17.2GB) |
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- Training Improvement: 78.5% |
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- Accuracy: 92% (medical Q&A with reasoning chains) |
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- Speed: 30-35 tokens/sec (Apple Silicon M3 Max) |
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## Documentation |
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See the model card for comprehensive technical specifications and usage examples. |
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