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MarinaraSpaghetti/NemoReRemix-GGUF
NemoReRemix-GGUF is a machine learning model from MarinaraSpaghetti. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
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From the Hugging Face model README


Improved NemoRemix for storytelling and roleplay. Plus, this one can also be used as a general assistant model. The prose is pretty much the same, but it was made smarter, thanks to the addition of the amazing Migtissera's Tess model. I yeeted out Gryphe's Pantheon-RP, though, because it was trained with asterisks in mind, unlike the rest of the models in the merge, which caused it to mess the formatting from time to time; this one doesn't do that anymore. Hooray! All credits and thanks go to the amazing Migtissera, MistralAI, Anthracite, Sao10K and ShuttleAI for their amazing models.
ChatML but Mistral Instruct should work too (theoretically). Important: remember to add <|im_end|> as a custom stopping string, otherwise it will appear in the output.
<|im_start|>system
{system}<|im_end|>
<|im_start|>user
{message}<|im_end|>
<|im_start|>assistant
{response}<|im_end|>
I recommend running Temperature 1.0-1.2 with 0.1 Top A or 0.01-0.1 Min P, and with 0.8/1.75/2/0 DRY. Also works with lower Temperatures below 1.0. Nothing more needed.
You can use my exact settings from here (use the ones from the ChatML Base/Customized folder): https://huggingface.co/MarinaraSpaghetti/SillyTavern-Settings/tree/main.
https://huggingface.co/MarinaraSpaghetti/NemoReRemix-GGUF
This is a merge of pre-trained language models created using mergekit.
This model was merged using the della_linear merge method using E:\mergekit\mistralaiMistral-Nemo-Base-2407 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: E:\mergekit\mistralaiMistral-Nemo-Instruct-2407
parameters:
weight: 0.1
density: 0.4
- model: E:\mergekit\Sao10K_MN-12B-Lyra-v1
parameters:
weight: 0.12
density: 0.5
- model: E:\mergekit\shuttleai_shuttle-2.5-mini
parameters:
weight: 0.2
density: 0.6
- model: E:\mergekit\migtissera_Tess-3-Mistral-Nemo
parameters:
weight: 0.25
density: 0.7
- model: E:\mergekit\anthracite-org_magnum-12b-v2
parameters:
weight: 0.33
density: 0.8
merge_method: della_linear
base_model: E:\mergekit\mistralaiMistral-Nemo-Base-2407
parameters:
epsilon: 0.05
lambda: 1
dtype: bfloat16