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Novaciano/Sigil-Of-Satan-3.2-1B

sourceHugging Faceupdated 2y agoView on Hugging Face
1likes38downloads
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merge

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

Merge Details

<center> <img src="https://i.ibb.co/jkpYCJLs/pngimg-com-pentagram-PNG23.png" alt="pngimg-com-pentagram-PNG23" border="0"> </center>


🇬🇧 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


🇪🇦 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


Quants / Cuantizaciones


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:

yaml
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!

MetricValue (%)
Average13.69
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