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QuantFactory/Nemomix-v2.0-12B-GGUF
Nemomix-v2.0-12B-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/Nemomix-v2.0-12B created using llama.cpp


My main goal is to merge the smartness of the base Instruct Nemo with the better prose from the different roleplaying fine-tunes. This is version v0.2, still to be tested. Not sure if it's better than v1.0. All credits and thanks go to Intervitens, Mistralai, and NeverSleep for providing amazing models used in the merge.
Mistral Instruct.
<s>[INST] {system} [/INST]{assistant}</s>[INST] {user} [/INST]
Lower Temperature of 0.35 recommended, although I had luck with Temperatures above one (1.0-1.2) if you crank up the Min P (0.01-0.1). Run with base DRY of 0.8/1.75/2/0 and you're good to go.
https://huggingface.co/MarinaraSpaghetti/Nemomix-v2.0-12B-GGUF
V1: https://huggingface.co/MarinaraSpaghetti/Nemomix-v1.0-12B
V2: https://huggingface.co/MarinaraSpaghetti/Nemomix-v2.0-12B
V3: https://huggingface.co/MarinaraSpaghetti/Nemomix-v3.0-12B
V4: https://huggingface.co/MarinaraSpaghetti/Nemomix-v4.0-12B
This is a merge of pre-trained language models created using mergekit.
This model was merged using the Model Stock 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\NeverSleep_Lumimaid-v0.2-12B
- model: F:\mergekit\intervitens_mini-magnum-12b-v1.1
- model: F:\mergekit\mistralaiMistral-Nemo-Instruct-2407
merge_method: model_stock
base_model: F:\mergekit\mistralaiMistral-Nemo-Base-2407
parameters:
filter_wise: false
dtype: bfloat16