Carasique-v0.2
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the della merge method using Carasique-v0.1 as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: Carasique-v0.1
parameters:
int8_mask: true
rescale: true
normalize: false
merge_method: della
dtype: bfloat16
models:
- model: NeverSleep/Lumimaid-v0.2-12B
parameters:
density: [0.6, 0.4, 0.5, 0.4, 0.6]
epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
lambda: 0.85
weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
- model: Sao10K/MN-12B-Lyra-v1
parameters:
density: [0.4, 0.5, 0.6, 0.4, 0.6, 0.5, 0.4]
epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
lambda: 0.85
weight: [0.6, 0.5, 0.4, 0.6, 0.4, 0.5, 0.6]
- model: nothingiisreal/MN-12B-Celeste-V1.9
parameters:
density: [0.45, 0.55, 0.45, 0.55, 0.45]
epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
lambda: 0.85
weight: [0.55, 0.45, 0.55, 0.45, 0.55]
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