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Slerp-CM-mist-dpo

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metadata
license: apache-2.0
tags:
  - merge

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This model is a Slerp Merge of cookinai/CatMacaroni-Slerp and mncai/mistral-7b-dpo-v5.

Evaluation Results

HuggingFace Leaderboard

Average ARC HellaSwag MMLU TruthfulQA Winogrande GSM8K
73.1 69.62 87.09 64.81 62.82 81.45 72.78

The model did achieve an improvement in TruthfulQA over cookinai/CatMacaroni-Slerp and GSM8K over mncai/mistral-7b-dpo-v5 which was the goal of the merge leading to an average score that was a better than both. It is unclear why the TruthfulQA metric is still meaningfully lower than the base mncai/mistral-7b-dpo-v5.

Training Details

.yaml file for mergekit

slices:
  - sources:
      - model: cookinai/CatMacaroni-Slerp
        layer_range: [0, 32]
      - model: mncai/mistral-7b-dpo-v5
        layer_range: [0, 32]
merge_method: slerp
base_model: mncai/mistral-7b-dpo-v5
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5 # fallback for rest of tensors
dtype: float16