Karasik 0.2
Overview
Somewhat experimental merge of some Mistral Small models.
Quants
Merge Details
Merge Method
This model was merged using the della_linear merge method using ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1 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: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
parameters:
epsilon: 0.04
lambda: 1.05
int8_mask: true
rescale: true
normalize: false
dtype: bfloat16
tokenizer_source: base
merge_method: della_linear
models:
- model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
parameters:
weight: [0.2, 0.3, 0.2, 0.3, 0.2]
density: [0.45, 0.55, 0.45, 0.55, 0.45]
- model: gghfez/SeminalRP-22b
parameters:
weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
density: [0.6, 0.4, 0.5, 0.4, 0.6]
- model: TheDrummer/Cydonia-22B-v1.1
parameters:
weight: [0.208, 0.139, 0.139, 0.139, 0.208]
density: [0.7]
- model: nbeerbower/Mistral-Small-Drummer-22B
parameters:
weight: [0.33]
density: [0.45, 0.55, 0.45, 0.55, 0.45]
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