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README.md
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This was done for the sake of testing the theory of how long context tunes affect attention when merged with a model that has been trained for a different purpose, on a shorter context span.
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Different from the first merge [(That sports a 50/50 ratio)](https://huggingface.co/TehVenom/mpt-7b-InstructAndStorywriting-50_50-Merge), this one is lopsided towards the Instruct base model to have another comparison point for the effects of CTX span merging, and to have a model that is primarily focused on Instruct.
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There are two objectives for this merge, first one is to see how much out of the 65k-Storywriter model is necessart to raise the ceiling of the final model's context size,
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This was done for the sake of testing the theory of how 'long context' tunes affect attention when merged with a model that has been trained for a different purpose, on a shorter context span.
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Different from the first merge [(That sports a 50/50 ratio)](https://huggingface.co/TehVenom/mpt-7b-InstructAndStorywriting-50_50-Merge), this one is lopsided towards the Instruct base model to have another comparison point for the effects of CTX span merging, and to have a model that is primarily focused on Instruct.
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There are two objectives for this merge, first one is to see how much out of the 65k-Storywriter model is necessart to raise the ceiling of the final model's context size,
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