The best one so far out of all the Nemomixes. Use this one.
Information
Description
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.
Instruct
Mistral Instruct.
<s>[INST] {system} [/INST] {assistant}</s>[INST] {user} [/INST]
Settings
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.
Presets
You can use my custom context/instruct/parameters presets for the model from here.
https://huggingface.co/MarinaraSpaghetti/SillyTavern-Settings/tree/main
GGUF
https://huggingface.co/MarinaraSpaghetti/Nemomix-v4.0-12B-GGUF
Other Versions
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
Nemomix-v0.4-12B
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the della_linear merge method using F:\mergekit\mistralaiMistral-Nemo-Base-2407 as a base.
Models Merged
The following models were included in the merge:
- F:\mergekit\intervitens_mini-magnum-12b-v1.1
- F:\mergekit\mistralaiMistral-Nemo-Instruct-2407
- F:\mergekit\invisietch_Atlantis-v0.1-12B
- F:\mergekit\NeverSleepHistorical_lumi-nemo-e2.0
Configuration
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