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Blur-7b-slerp-v1.46

Blur-7b-slerp-v1.46 is a merge of the following models using mergekit:

🧩 Configuration


slices:
  - sources:
      - model: liminerity/merge
        layer_range: [0, 32]
      - model: bardsai/jaskier-7b-dpo-v5.6
        layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/merge
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
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 76.26
AI2 Reasoning Challenge (25-Shot) 73.29
HellaSwag (10-Shot) 89.07
MMLU (5-Shot) 64.37
TruthfulQA (0-shot) 76.61
Winogrande (5-shot) 84.53
GSM8k (5-shot) 69.67
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Tensor type
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Evaluation results