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README.md

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 license: apache-2.0
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+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6500c7c912c1442d994c36e5/rav-pUPtWF-u-_A4k9RaZ.png)
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+TinyKAI 3B is a fine-tuned LLM (Large Language Model) based off of [OpenLlama 3B v2](https://huggingface.co/openlm-research/open_llama_3b_v2).
+The TinyKAI models are a series of lightweight LLMs under 5 Billion parameters, usually used for research.
+
+## Direct Use
+TinyKAI 3B is optimal for research on large language models, specifically the influence of web data on the properties of large language models (fairness, safety, limitations, capabilities, etc.).
+
+## Training
+This model was trained on a mixture of the [Falcon refined-web dataset](https://huggingface.co/datasets/tiiuae/falcon-refinedweb), the [StarCoder dataset](https://huggingface.co/datasets/bigcode/starcoderdata) and the wikipedia, arxiv, book and stackexchange part of the [RedPajama dataset](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T).
+
+## Banned Use
+Production use without adequate assessment of risks and mitigation; any use cases which may be considered irresponsible or harmful or insulting to anyone or any certain group.
+
+## Limitations
+TinyKAI 3B is trained on English data only, and will not generate appropriately reasonable content in other languages. Being trained on a representative of the web, it will carry the stereotypes and biases commonly encountered online.
+
+## Recommendations
+We recommend users of TinyKAI 3B to consider finetuning it for personal use, and for precautions to be taken for any commercial use.