File size: 2,486 Bytes
736b9b4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 |
---
base_model:
- jsgreenawalt/gemma-2-9B-it-advanced-v2.1
- nbeerbower/gemma2-gutenberg-9B
- ifable/gemma-2-Ifable-9B
- UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
- lemon07r/Gemma-2-Ataraxy-9B
- BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
library_name: transformers
tags:
- mergekit
- merge
---
[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
# QuantFactory/Pullulation-2-9B-GGUF
This is quantized version of [ClaudioItaly/Pullulation-2-9B](https://huggingface.co/ClaudioItaly/Pullulation-2-9B) created using llama.cpp
# Original Model Card
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [nbeerbower/gemma2-gutenberg-9B](https://huggingface.co/nbeerbower/gemma2-gutenberg-9B) as a base.
### Models Merged
The following models were included in the merge:
* [jsgreenawalt/gemma-2-9B-it-advanced-v2.1](https://huggingface.co/jsgreenawalt/gemma-2-9B-it-advanced-v2.1)
* [ifable/gemma-2-Ifable-9B](https://huggingface.co/ifable/gemma-2-Ifable-9B)
* [UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3)
* [lemon07r/Gemma-2-Ataraxy-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-9B)
* [BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference](https://huggingface.co/BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: nbeerbower/gemma2-gutenberg-9B
parameters:
weight: 0.25
- model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
weight: 0.25
- model: ifable/gemma-2-Ifable-9B
parameters:
weight: 0.25
- model: jsgreenawalt/gemma-2-9B-it-advanced-v2.1
parameters:
weight: 0.25
- model: lemon07r/Gemma-2-Ataraxy-9B
parameters:
weight: 0.25
- model: BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
parameters:
weight: 0.25
base_model: nbeerbower/gemma2-gutenberg-9B # Modello di riferimento per la fusione
parameters:
t: [0, 0.33, 0.67, 1] # Parametri di interpolazione
dtype: bfloat16
merge_method: model_stock # Metodo di fusione
```
|