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README.md
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tokenizer_source: model:cognitivecomputations/dolphin-2.2-70b # keep exact tokenizer used by dolphin - or you could use `union` if you add all of the input models to the first/last slice, but they would need to be non-zero weight or you'll get NaNs in your embeddings
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```
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# Example Output
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> Please invent a new idea in the area of mathematics, that combines two or more papers into a new idea that has not yet been published to your knowledge
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## Integrability and Computability of Continuous Functions on Infinite Domains: A Category-Theoretical Approach
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tokenizer_source: model:cognitivecomputations/dolphin-2.2-70b # keep exact tokenizer used by dolphin - or you could use `union` if you add all of the input models to the first/last slice, but they would need to be non-zero weight or you'll get NaNs in your embeddings
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```
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# Example Output (Generated with 4-bit gguf quantized version)
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> Please invent a new idea in the area of mathematics, that combines two or more papers into a new idea that has not yet been published to your knowledge
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## Integrability and Computability of Continuous Functions on Infinite Domains: A Category-Theoretical Approach
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