maid-yuzu-v1
This is a merge of pre-trained language models created using mergekit.
This model is an attempt to slightly modify the merge options of BagelMIsteryTour-v2-8x7B to get a more lewd response.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using mistralai/Mixtral-8x7B-v0.1 as a base.
Models Merged
The following models were included in the merge:
- jondurbin/bagel-dpo-8x7b-v0.2
- mistralai/Mixtral-8x7B-Instruct-v0.1
- mistralai/Mixtral-8x7B-v0.1 + Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
- Sao10K/Sensualize-Mixtral-bf16
Configuration
The following YAML configuration was used to produce this model:
base_model:
model:
path: mistralai/Mixtral-8x7B-v0.1
dtype: bfloat16
merge_method: dare_ties
slices:
- sources:
- layer_range: [0, 32]
model:
lora:
path: Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
model:
path: mistralai/Mixtral-8x7B-v0.1
parameters:
density: 0.55
weight: 0.25
- layer_range: [0, 32]
model:
model:
path: Sao10K/Sensualize-Mixtral-bf16
parameters:
density: 0.55
weight: 0.25
- layer_range: [0, 32]
model:
model:
path: mistralai/Mixtral-8x7B-Instruct-v0.1
parameters:
density: 0.6
weight: 1.0
- layer_range: [0, 32]
model:
model:
path: jondurbin/bagel-dpo-8x7b-v0.2
parameters:
density: 0.6
weight: 0.5
- layer_range: [0, 32]
model:
model:
path: mistralai/Mixtral-8x7B-v0.1
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