7B AWQ
Collection
These models are selected for their compatibility with small 12GB memory GPUs.
•
204 items
•
Updated
•
2
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.
This model was merged using the task arithmetic merge method using mistralai/Mistral-7B-v0.1 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
merge_method: task_arithmetic
base_model: mistralai/Mistral-7B-v0.1
models:
- 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: 0.27
dtype: float16