image/jpeg Quants Thanks to @Nold and @Bartowski:

https://huggingface.co/nold/Prima-Pastacles-7b-GGUF

https://huggingface.co/bartowski/Prima-Pastacles-7b-exl2

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: Test157t/Pasta-PrimaMaid-7b
        layer_range: [0, 32]
      - model: Locutusque/Hercules-2.5-Mistral-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: Test157t/Pasta-PrimaMaid-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. 67.91
AI2 Reasoning Challenge (25-Shot) 66.04
HellaSwag (10-Shot) 85.83
MMLU (5-Shot) 64.21
TruthfulQA (0-shot) 56.69
Winogrande (5-shot) 79.64
GSM8k (5-shot) 55.04
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