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Statuo/NemoMix-v4.0-EXL2-4bpw
NemoMix-v4.0-EXL2-4bpw is a text generation model from Statuo. Use it when you need the model to write or continue text. It is set up for transformers.
Honestly wanted to wait to quant these. It felt like they were pumping out new versions of it like clockwork to the point where I was wondering if MarinaraSpaghetti was even sleeping. But since this seems to be a clea…
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From the Hugging Face model README
Honestly wanted to wait to quant these. It felt like they were pumping out new versions of it like clockwork to the point where I was wondering if MarinaraSpaghetti was even sleeping. But since this seems to be a clear-cut winner on the board, here we go. <br>
This is the 4bpw EXL2 version of NemoMix 4.0. You can find the Original Model here <br> You can find the 8bpw version here <br> You can find the 6bpw version here
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My main goal is to merge the smartness of the base Instruct Nemo with the better prose from the different roleplaying fine-tunes. This one seems to be the best out of all, so far. All credits and thanks go to Intervitens, Mistralai, Invisietch, 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.
You can use my custom context/instruct/parameters presets for the model from here.
https://huggingface.co/MarinaraSpaghetti/SillyTavern-Settings/tree/main
https://huggingface.co/MarinaraSpaghetti/Nemomix-v4.0-12B-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 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\invisietch_Atlantis-v0.1-12B
parameters:
weight: 0.16
density: 0.4
- model: F:\mergekit\mistralaiMistral-Nemo-Instruct-2407
parameters:
weight: 0.23
density: 0.5
- model: F:\mergekit\NeverSleepHistorical_lumi-nemo-e2.0
parameters:
weight: 0.27
density: 0.6
- model: F:\mergekit\intervitens_mini-magnum-12b-v1.1
parameters:
weight: 0.34
density: 0.8
merge_method: della_linear
base_model: F:\mergekit\mistralaiMistral-Nemo-Base-2407
parameters:
epsilon: 0.05
lambda: 1
int8_mask: true
dtype: bfloat16