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QuantFactory/NemoRemix-12B-GGUF
NemoRemix-12B-GGUF is a machine learning model from QuantFactory. 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
This is quantized version of MarinaraSpaghetti/NemoRemix-12B created using llama.cpp


https://huggingface.co/MarinaraSpaghetti/NemoReRemix-12B
New merge of NeMo based models, thankfully this time with ChatML format. My goal was to create a smart and universal roleplaying model that is stable on higher contexts. So far seems to be better than my best Nemomix attempts, especially on the 64k+ context I've been using. All credits and thanks go to the amazing Gryphe, MistralAI, Anthracite, Sao10K and ShuttleAI for their amazing models.
ChatML but Mistral Instruct should work too (theoretically).
<|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/NemoRemix-12B-GGUF
This is a merge of pre-trained language models created using mergekit.
This model was merged using the della_linear merge method using F:\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: F:\mergekit\Gryphe_Pantheon-RP-1.5-12b-Nemo
parameters:
weight: 0.1
density: 0.3
- model: F:\mergekit\mistralaiMistral-Nemo-Instruct-2407
parameters:
weight: 0.12
density: 0.4
- model: F:\mergekit\Sao10K_MN-12B-Lyra-v1
parameters:
weight: 0.2
density: 0.5
- model: F:\mergekit\shuttleai_shuttle-2.5-mini
parameters:
weight: 0.25
density: 0.6
- model: F:\mergekit\anthracite-org_magnum-12b-v2
parameters:
weight: 0.33
density: 0.8
merge_method: della_linear
base_model: F:\mergekit\mistralaiMistral-Nemo-Base-2407
parameters:
epsilon: 0.05
lambda: 1
dtype: bfloat16