|
--- |
|
base_model: |
|
- win10/EVA-QwQ-32B-Preview |
|
- ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3 |
|
- maldv/Qwentile2.5-32B-Instruct |
|
- Sao10K/32B-Qwen2.5-Kunou-v1 |
|
library_name: transformers |
|
tags: |
|
- mergekit |
|
- merge |
|
license: apache-2.0 |
|
|
|
--- |
|
|
|
# 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](https://huggingface.co/mradermacher/QwentileSwap-GGUF) and [gguf_imatrix_quants](https://huggingface.co/mradermacher/QwentileSwap-i1-GGUF). |
|
|
|
# merged |
|
|
|
This is a merge of pre-trained language models created using my custom method in [mergekit](https://github.com/Ar57m/mergekit/tree/swapping). |
|
|
|
## Merge Details |
|
### Merge Method |
|
|
|
|
|
This model was merged using the task_swapping merge method using [win10/EVA-QwQ-32B-Preview](https://huggingface.co/win10/EVA-QwQ-32B-Preview) as a base. |
|
|
|
### Models Merged |
|
|
|
The following models were included in the merge: |
|
* [ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3](https://huggingface.co/ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3) |
|
* [maldv/Qwentile2.5-32B-Instruct](https://huggingface.co/maldv/Qwentile2.5-32B-Instruct) |
|
* [Sao10K/32B-Qwen2.5-Kunou-v1](https://huggingface.co/Sao10K/32B-Qwen2.5-Kunou-v1) |
|
|
|
### Configuration |
|
|
|
The following YAML configuration was used to produce this model: |
|
|
|
```yaml |
|
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 |
|
``` |
|
|
