Aryanne/Open-StarLake-Swap-7B
This is a merge of pre-trained language models created using mergekit, but my branch was used
here
Merge Details
Merge Method
This model was merged using the task_swapping merge method using senseable/WestLake-7B-v2 as a base.
Models Merged
The following models were included in the merge:
Prompt Format:
I prefer using this way, which seems to work.
Example using Koboldcpp:
Start Seq.:
\nYour_name:
End Seq.:
\nCharacter_name:
In Memory
### Instruction:
Character description.
Generate a endless verbose(very descriptive) role-play conversation with Character_name.
### Response:
Your_name: how are you doing babe? *Your_name approaches Character_name and kisses her in the lips*
Character_name: I'm fine, it's been an weird day. *Character_name blushes and hugs Your_name with love*
Configuration
The following YAML configuration was used to produce this model:
base_model:
model:
path: senseable/WestLake-7B-v2
dtype: bfloat16
merge_method: task_swapping
slices:
- sources:
- layer_range: [0, 32]
model:
model:
path: berkeley-nest/Starling-LM-7B-alpha
parameters:
diagonal_offset: 2.0
weight: 0.72
- layer_range: [0, 32]
model:
model:
path: openchat/openchat-3.5-0106
parameters:
diagonal_offset: 4.0
random_mask: 0.166
random_mask_seed: 19519.0
weight: 0.4
- layer_range: [0, 32]
model:
model:
path: NousResearch/Nous-Hermes-2-Mistral-7B-DPO
parameters:
diagonal_offset: 4.0
random_mask: 0.125
random_mask_seed: 990090.0
weight: 0.666
- layer_range: [0, 32]
model:
model:
path: senseable/WestLake-7B-v2
Support
Please Consider donating: 0x190ac445974a989a87dd223f212a76ca0090c804