docs: connect model card to evidence and add metadata
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README.md
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## Independent Verification Update — October 2026
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LittleLess AI has produced experimental artifacts demonstrating compact transformer storage, low-bit weight representation, file-backed inference, and native execution.
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Current research priorities are genuine learned entity grounding, robust unseen-data generalization, reproducible competitor comparisons, and a standalone offline inference product.
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**Verification status:** Internal audit completed; independent external reproduction and broader competitive benchmarking remain pending.
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**Source:** https://github.com/sunny-kavixo/LittleLess-AI
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---
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license: unknown
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tags:
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- model-compression
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- quantization
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- streaming-inference
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- experimental-research
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---
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## Independent Verification Update — October 2026
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LittleLess AI has produced experimental artifacts demonstrating compact transformer storage, low-bit weight representation, file-backed inference, and native execution.
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Current research priorities are genuine learned entity grounding, robust unseen-data generalization, reproducible competitor comparisons, and a standalone offline inference product.
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**Verification status:** Internal audit completed; independent external reproduction and broader competitive benchmarking remain pending.
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## Related Research Repositories
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- **Research Evidence Dataset:** https://huggingface.co/datasets/putlurusandeep/LittleLess-AI-Research-Evidence
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- **GitHub Source Code:** https://github.com/sunny-kavixo/LittleLess-AI
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**Release status:** Experimental research. No downloadable pretrained model weights are provided. Independent external reproduction remains pending.
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