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Quants Thanks to @Lewdiculous :https://huggingface.co/Lewdiculous/Prima-LelantaclesV4-7b-16k-GGUF

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: Test157t/Yarncules-7b-128k
        layer_range: [0, 32]
      - model: Test157t/Prima-LelantaclesV3-7b
        layer_range: [0, 32]
merge_method: slerp
base_model: Test157t/Prima-LelantaclesV3-7b
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

Detailed results can be found here

Metric Value
Avg. 68.28
AI2 Reasoning Challenge (25-Shot) 66.04
HellaSwag (10-Shot) 85.07
MMLU (5-Shot) 64.70
TruthfulQA (0-shot) 54.76
Winogrande (5-shot) 80.27
GSM8k (5-shot) 58.83
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Evaluation results