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Experiment26-7B is a merge of the following models using mergekit:

🧩 Configuration

slices:
  - sources:
      - model: yam-peleg/Experiment26-7B
        layer_range: [0, 32]
      - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
        layer_range: [0, 32]
merge_method: slerp
base_model: yam-peleg/Experiment26-7B
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: bfloat16
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)


|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |74.96|
|AI2 Reasoning Challenge (25-Shot)|71.84|
|HellaSwag (10-Shot)              |88.09|
|MMLU (5-Shot)                    |65.07|
|TruthfulQA (0-shot)              |72.16|
|Winogrande (5-shot)              |82.32|
|GSM8k (5-shot)                   |70.28|
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