merge
This is a merge of pre-trained language models created using mergekit.
Merge Details

🇬🇧 English
Remixed version of HarmfulProject-3.2-1B model.
I'll note that there's nothing unusual about it other than being a mix of mixes of uncensored and abliterated models.
The difference with HarmfulProject-3.2-1B is that instead of being mixed in one model, the same models have been mixed in smaller mixes in this model.
Author's Note:
I'm not responsible for the content of the model since I only made the mix, I didn't inject any dataset into it... yet.
Others models created with this merge
- Cultist-3.2-1B - Sigil-of-Satan was used as a base, may contain LEWD data.
- LEWD-Mental-Cultist-3.2-1B - LEWD-Mental-Occult was used as a base, may be more explicit.
- ASTAROTH-3.2-1B - ASTAROTH is the definitive merge of all previos merges.
🇪🇦 Español
Versión remezclada / remixada del modelo HarmfulProject-3.2-1B.
Aviso desde ya que no tiene nada raro mas allá de ser una mezcla de mezclas de modelos abliterados y sin censura.
La diferencia con HarmfulProject-3.2-1B es que en vez de haber sido mezclados en un modelo en este modelo se ha mezclado los mismos modelos pero en mezclas más pequeñas.
AVISO: No me hago cargo del contenido del modelo ya que solo hice la mezcla, no le inyecté dataset alguno... aún.
Otros modelos creados con esta mezclas
- Cultist-3.2-1B - Sigil-of-Satan fue usado como base, puede contener datos LEWD.
- LEWD-Mental-Cultist-3.2-1B - LEWD-Mental-Occult fue usado como base, puede que sea más explicito.
- ASTAROTH-3.2-1B - ASTAROTH es la mezcla definitiva de todas mis mezclas anteriores.
Quants / Cuantizaciones
- Static Quants: mradermacher/UNCENSORED-Sigil-Of-Satan-3.2-1B-GGUF
- Weighed/iMatrix: En proceso...
Merge Method
This model was merged using the Model Stock merge method using Novaciano/BAPHOMET as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Novaciano/LAMED
- model: Novaciano/VAV
- model: Novaciano/YOD
- model: Novaciano/TAV
- model: Novaciano/NUN-FINAL
merge_method: model_stock
base_model: Novaciano/BAPHOMET
dtype: bfloat16
parameters:
t: [0, 0.5, 1, 0.5, 0]
Open LLM Leaderboard Evaluation Results
Detailed results can be found here! Summarized results can be found here!
Metric | Value (%) |
---|---|
Average | 13.69 |
IFEval (0-Shot) | 54.94 |
BBH (3-Shot) | 9.40 |
MATH Lvl 5 (4-Shot) | 5.44 |
GPQA (0-shot) | 1.45 |
MuSR (0-shot) | 1.42 |
MMLU-PRO (5-shot) | 9.50 |
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Evaluation results
- averaged accuracy on IFEval (0-Shot)Open LLM Leaderboard54.940
- normalized accuracy on BBH (3-Shot)test set Open LLM Leaderboard9.400
- exact match on MATH Lvl 5 (4-Shot)test set Open LLM Leaderboard5.440
- acc_norm on GPQA (0-shot)Open LLM Leaderboard1.450
- acc_norm on MuSR (0-shot)Open LLM Leaderboard1.420
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard9.500