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In my limited testing, this model performs really well, giving decent replies most of the time.... That is if you ignore the fatal flaws, which are inherent to how this model was created unfortunately. Since it's made by directly stacking the weights of other models, it likes to constantly create new words and stutter and generally act stange, however if you ignore this and fill in the blanks yourself the model is quite decent. I plan to try to remove this weirdness if possible by using a LoRA but I am not sure if I will be able to, no promisses. If you have the compute to fine tune this model, I emplore you to because I think it is a promissing base.
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Artwork source: https://twitter.com/Kumaartsu/status/1756793643384402070
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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In my limited testing, this model performs really well, giving decent replies most of the time.... That is if you ignore the fatal flaws, which are inherent to how this model was created unfortunately. Since it's made by directly stacking the weights of other models, it likes to constantly create new words and stutter and generally act stange, however if you ignore this and fill in the blanks yourself the model is quite decent. I plan to try to remove this weirdness if possible by using a LoRA but I am not sure if I will be able to, no promisses. If you have the compute to fine tune this model, I emplore you to because I think it is a promissing base.
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Artwork source, please contact for me to remove it if wished: https://twitter.com/Kumaartsu/status/1756793643384402070
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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