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Gemma2-Eclipse-9B

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Gemma2-Eclipse-9B
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---
base_model:
- unsloth/gemma-2-9b
- crestf411/gemma2-9B-sunfall-v0.5.2
- anthracite-org/magnum-v4-9b
- unsloth/gemma-2-9b-it
- nbeerbower/Gemma2-Gutenberg-Doppel-9B
library_name: transformers
tags:
- mergekit
- merge

---
# Gemma2-Eclipse-9B

The merge script was taken from [MarinaraSpaghetti/NemoMix-Unleashed-12B](https://huggingface.co/MarinaraSpaghetti/NemoMix-Unleashed-12B). All I did was replace the models (and I couldn't find a replacement for one of the models so I just increased the weight on one) and it seems to work pretty well.

ChatML prompt format seems to work fine. Gemma 2 format seems to also work.

ChatML seems cause it to incorrectly spew this at the end |im_end|> so Gemma 2 format might work better.

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 della_linear merge method using [unsloth/gemma-2-9b](https://huggingface.co/unsloth/gemma-2-9b) as a base.

### Models Merged

The following models were included in the merge:
* [crestf411/gemma2-9B-sunfall-v0.5.2](https://huggingface.co/crestf411/gemma2-9B-sunfall-v0.5.2)
* [anthracite-org/magnum-v4-9b](https://huggingface.co/anthracite-org/magnum-v4-9b)
* [unsloth/gemma-2-9b-it](https://huggingface.co/unsloth/gemma-2-9b-it)
* [nbeerbower/Gemma2-Gutenberg-Doppel-9B](https://huggingface.co/nbeerbower/Gemma2-Gutenberg-Doppel-9B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: unsloth/gemma-2-9b-it
    parameters:
      weight: 0.22
      density: 0.5
  - model: nbeerbower/Gemma2-Gutenberg-Doppel-9B
    parameters:
      weight: 0.2
      density: 0.6
  - model: crestf411/gemma2-9B-sunfall-v0.5.2
    parameters:
      weight: 0.25
      density: 0.7
  - model: anthracite-org/magnum-v4-9b
    parameters:
      weight: 0.33
      density: 0.8
merge_method: della_linear
base_model: unsloth/gemma-2-9b
parameters:
  epsilon: 0.05
  lambda: 1
dtype: bfloat16
tokenizer_source: base

```