nemoties
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using mistralai/Mistral-Nemo-Base-2407 as a base.
Models Merged
The following models were included in the merge:
- PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
- LatitudeGames/Wayfarer-12B
- Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24
- bamec66557/MISCHIEVOUS-12B-Mix_0.6v
- aixonlab/Grey-12b
Configuration
The following YAML configuration was used to produce this model:
models:
- model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b #ifeval, musr; weak in math, gpqa
parameters:
density: [0.1, 0.25, 1.0, 0.5, 1.0]
weight: 1.0
- model: LatitudeGames/Wayfarer-12B #personality, bias, sentiment; unknown weaknesses
parameters:
density: [1.0, 0.5, 0.01]
weight: [1.0, 0.5]
- model: aixonlab/Grey-12b #bbh, mmlu; weak in ifeval, gpqa
parameters:
density: [0.75, 1.0, 0.6, 0.25, 0.01]
weight: [1.0, 0.5]
- model: Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24 #MATH; weak in musr, gpqa
parameters:
density: [0.1, 0.1, 0.25, 1.0, 0.01]
weight: 1.0
- model: bamec66557/MISCHIEVOUS-12B-Mix_0.6v #ok GPQA and other reasoning; mediocre ifeval
parameters:
density: [0.1, 0.5, 1.0, 0.5, 0.01]
weight: 1.0
merge_method: ties
base_model: mistralai/Mistral-Nemo-Base-2407
tokenizer_source: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
parameters:
normalize: true
int8_mask: true
dtype: float16
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