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license: mit
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Model created by non-profit CWC (Consumer Wellness Center) with strong emphasis on curated training data in the realms of nutrition, natural health, wellness, disease prevention, phytochemistry and similar topics.
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license: mit
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Model created by non-profit CWC (Consumer Wellness Center) with strong emphasis on curated training data in the realms of nutrition, natural health, wellness, disease prevention, phytochemistry and similar topics.
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Built on open-mistral-nemo 12B, with credit to Mistral, this model achieves very strong vector db alterations through a variety of SFT techniques to overcome the pro-pharma bias found in nearly all base models.
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The curated data set for training consists of over 100 million pages of content selected through algorithmic classification, including science papers, transcripts, book text, article text and more. No user-generated comments or chat data were used.
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This allows the model to achieve RAG-like domain knowledge without using RAG. Out of the box, with default system prompts, it is outperforming far larger and more complex models with RAG layers.
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Recommended context window of 8192. Flash attention supported.
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This model is provided by CWC, and its development was led by Mike Adams.
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Additional models and quants will also be published.
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