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Ooof, my man ain't feeling so hot, I'd pass on this one for now. Inverting and merging 20b Llama 2 models works quite well, evening out the gradients between slices. However, these 13b Mistrals seem to HATE it, I assume due to the unbalanced nature of my recipe. More study is required.

Recipe

merge_method: dare_ties

  • base_model: athirdpath/BigMistral-13b

  • model: athirdpath/NeuralHermes-Mistral-13b

    weight: 0.60 / density: 0.35

  • model: athirdpath/NeuralHermes-Mistral-13b-INV

    weight: 0.40 / density: 0.30

int8_mask: true

dtype: bfloat16

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