Info

Trying to make something different, feel free to try like or dislike or leave a feedback, I'm not claiming anything about anything.

I made one quant here (https://huggingface.co/Aryanne/QwentileSwap/blob/main/q4ks_QwentileSwap.gguf)

Also thanks to mradermacher for the other quants: gguf and gguf_imatrix_quants.

merged

This is a merge of pre-trained language models created using my custom method in mergekit.

Merge Details

Merge Method

This model was merged using the task_swapping merge method using win10/EVA-QwQ-32B-Preview as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model: win10/EVA-QwQ-32B-Preview
dtype: bfloat16
merge_method: task_swapping
slices:
- sources:
 - layer_range: [0, 64]
 model: maldv/Qwentile2.5-32B-Instruct
 parameters:
 diagonal_offset: 2.0 # ignored here
 random_mask: 0.666
 random_mask_seed: 888.0
 weight: 0.5
 - layer_range: [0, 64]
 model: ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
 parameters:
 diagonal_offset: 5.0
 weight: 0.75
 - layer_range: [0, 64]
 model: Sao10K/32B-Qwen2.5-Kunou-v1
 parameters:
 diagonal_offset: 2.0 # ignored here
 random_mask: 0.333
 random_mask_seed: 12347888.0
 weight: 0.5
 - layer_range: [0, 64]
 model: win10/EVA-QwQ-32B-Preview