Mistral-7B
Collection
5 items
β’
Updated
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1
image courtesy of @matchaaaaa
This is a merge of pre-trained language models created using mergekit.
GGUF quants:
This model was merged using the TIES merge method using MTSAIR/multi_verse_model as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: SanjiWatsuki/Silicon-Maid-7B
parameters:
density: 1.0
weight: 1.0
- model: SanjiWatsuki/Kunoichi-7B
parameters:
density: 0.4
weight: 1.0
- model: KatyTheCutie/LemonadeRP-4.5.3
parameters:
density: 0.6
weight: 1.0
merge_method: ties
base_model: MTSAIR/multi_verse_model
parameters:
normalize: true
dtype: float16
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 68.16 |
AI2 Reasoning Challenge (25-Shot) | 66.30 |
HellaSwag (10-Shot) | 85.53 |
MMLU (5-Shot) | 64.69 |
TruthfulQA (0-shot) | 60.66 |
Winogrande (5-shot) | 77.74 |
GSM8k (5-shot) | 54.06 |