solidrust

KatyTestHistorical-SultrySilicon-7B-V2

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README

License: apache-2.0

Model Summary

Experimental 7B RP focused model - Feedback appreciated!

(V2 is a bit more sultry and lewd)

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the task arithmetic merge method using mistralai/Mistral-7B-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:

yaml

merge_method: task_arithmeticbase_model: mistralai/Mistral-7B-v0.1models:  - model: mistralai/Mistral-7B-v0.1    # no parameters necessary for base model  - model: NeverSleep/Noromaid-7B-0.4-DPO    parameters:      weight: 0.37  - model: lemonilia/AshhLimaRP-Mistral-7B    parameters:      weight: 0.29  - model: NurtureAI/neural-chat-7b-v3-16k    parameters:      weight: 0.23  - model: cgato/Thespis-Mistral-7b-v0.7    parameters:      weight: 0.23  - model: CalderaAI/Naberius-7B    parameters:      weight: 0.15  - model: SanjiWatsuki/Silicon-Maid-7B    parameters:      weight: 0.25  - model: senseable/WestLake-7B-v2    parameters:      weight: 0.27  - model: maywell/PiVoT-0.1-Starling-LM-RP    parameters:      weight: 0.27dtype: float16

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Model Details

Model Provider

solidrust

Model Tree

Base

mistralai/Mistral-7B-v0.1

Base

lemonilia/AshhLimaRP-Mistral-7B

Base

cgato/Thespis-Mistral-7b-v0.7

Base

senseable/WestLake-7B-v2

Base

CalderaAI/Naberius-7B

Base

maywell/PiVoT-0.1-Starling-LM-RP

Base

SanjiWatsuki/Silicon-Maid-7B

Base

NeverSleep/Noromaid-7B-0.4-DPO

Merged

this model

Input Modalities

Text

Output Modalities

Text

Supported Functionality

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README

License: apache-2.0

Model Summary

Experimental 7B RP focused model - Feedback appreciated!

(V2 is a bit more sultry and lewd)

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the task arithmetic merge method using mistralai/Mistral-7B-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:

yaml

merge_method: task_arithmeticbase_model: mistralai/Mistral-7B-v0.1models:  - model: mistralai/Mistral-7B-v0.1    # no parameters necessary for base model  - model: NeverSleep/Noromaid-7B-0.4-DPO    parameters:      weight: 0.37  - model: lemonilia/AshhLimaRP-Mistral-7B    parameters:      weight: 0.29  - model: NurtureAI/neural-chat-7b-v3-16k    parameters:      weight: 0.23  - model: cgato/Thespis-Mistral-7b-v0.7    parameters:      weight: 0.23  - model: CalderaAI/Naberius-7B    parameters:      weight: 0.15  - model: SanjiWatsuki/Silicon-Maid-7B    parameters:      weight: 0.25  - model: senseable/WestLake-7B-v2    parameters:      weight: 0.27  - model: maywell/PiVoT-0.1-Starling-LM-RP    parameters:      weight: 0.27dtype: float16

merge_method: task_arithmeticbase_model: mistralai/Mistral-7B-v0.1models:  - model: mistralai/Mistral-7B-v0.1    # no parameters necessary for base model  - model: NeverSleep/Noromaid-7B-0.4-DPO    parameters:      weight: 0.37  - model: lemonilia/AshhLimaRP-Mistral-7B    parameters:      weight: 0.29  - model: NurtureAI/neural-chat-7b-v3-16k    parameters:      weight: 0.23  - model: cgato/Thespis-Mistral-7b-v0.7    parameters:      weight: 0.23  - model: CalderaAI/Naberius-7B    parameters:      weight: 0.15  - model: SanjiWatsuki/Silicon-Maid-7B    parameters:      weight: 0.25  - model: senseable/WestLake-7B-v2    parameters:      weight: 0.27  - model: maywell/PiVoT-0.1-Starling-LM-RP    parameters:      weight: 0.27dtype: float16