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Gemma-Ataraxy-Dare-9b-GGUF

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Gemma-Ataraxy-Dare-9b-GGUF
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---

base_model:
- anthracite-org/magnum-v3-9b-customgemma2
- inflatebot/G2-9B-Blackout-R1
- lemon07r/Gemma-2-Ataraxy-9B
library_name: transformers
tags:
- mergekit
- merge


---

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# QuantFactory/Gemma-Ataraxy-Dare-9b-GGUF
This is quantized version of [BarBarickoza/Gemma-Ataraxy-Dare-9b](https://huggingface.co/BarBarickoza/Gemma-Ataraxy-Dare-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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [lemon07r/Gemma-2-Ataraxy-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-9B) as a base.

### Models Merged

The following models were included in the merge:
* [anthracite-org/magnum-v3-9b-customgemma2](https://huggingface.co/anthracite-org/magnum-v3-9b-customgemma2)
* [inflatebot/G2-9B-Blackout-R1](https://huggingface.co/inflatebot/G2-9B-Blackout-R1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: lemon07r/Gemma-2-Ataraxy-9B
    # no parameters necessary for base model
  - model: anthracite-org/magnum-v3-9b-customgemma2
    parameters:
      weight: 0.1
      density: 0.15
  - model: inflatebot/G2-9B-Blackout-R1
    parameters:
      weight: 0.2
      density: 0.4

merge_method: dare_ties
base_model: lemon07r/Gemma-2-Ataraxy-9B
parameters:
  int8_mask: true
dtype: bfloat16
tokenizer_source: anthracite-org/magnum-v3-9b-customgemma2
normalize: false
```