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It's experimental, but seems fine for me, I didn't run it deeply yet but should be good for Role-play 😈 considering the two merged models, feel free to leave a suggestion or feedback.
This is a merge of pre-trained language models created using
mergekit
(my experimental branch swapping
here
)
The following YAML configuration was used to produce this model:
merge_method:task_swappingbase_model:NeuralNovel/Senzu-7B-v0.1-DPOmodels:-model:senseable/WestLake-7B-v2parameters:weight:0.75diagonal_offset:2#it doesn't do anything when you use random_maskrandom_mask:0.3333random_mask_seed:98557dtype:bfloat16
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WestSenzu-Swap-7B is an open source model from GitHub that offers a free installation service, and any user can find WestSenzu-Swap-7B on GitHub to install. At the same time, huggingface.co provides the effect of WestSenzu-Swap-7B install, users can directly use WestSenzu-Swap-7B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.