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---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- IlyaGusev/gemma-2-9b-it-abliterated
- crestf411/gemstone-9b
- BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
- lemon07r/Gemma-2-Ataraxy-9B
model-index:
- name: Gemma-2-gemmama-9b
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 77.03
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Gemma-2-gemmama-9b
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 32.92
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Gemma-2-gemmama-9b
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 0.0
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Gemma-2-gemmama-9b
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 11.41
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Gemma-2-gemmama-9b
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 8.46
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Gemma-2-gemmama-9b
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 23.44
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Gemma-2-gemmama-9b
name: Open LLM Leaderboard
---
# 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 [IlyaGusev/gemma-2-9b-it-abliterated](https://huggingface.co/IlyaGusev/gemma-2-9b-it-abliterated) as a base.
### Models Merged
The following models were included in the merge:
* [crestf411/gemstone-9b](https://huggingface.co/crestf411/gemstone-9b)
* [BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference](https://huggingface.co/BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference)
* [lemon07r/Gemma-2-Ataraxy-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-9B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: IlyaGusev/gemma-2-9b-it-abliterated
#no parameters necessary for base model
- model: BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
parameters:
density: 0.6
weight: 0.25
- model: lemon07r/Gemma-2-Ataraxy-9B
parameters:
density: 0.4
weight: 0.3
- model: crestf411/gemstone-9b
parameters:
density: 0.4
weight: 0.2
merge_method: dare_ties
base_model: IlyaGusev/gemma-2-9b-it-abliterated
parameters:
normalize: false
dtype: bfloat16
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_djuna__Gemma-2-gemmama-9b)
| Metric |Value|
|-------------------|----:|
|Avg. |25.54|
|IFEval (0-Shot) |77.03|
|BBH (3-Shot) |32.92|
|MATH Lvl 5 (4-Shot)| 0.00|
|GPQA (0-shot) |11.41|
|MuSR (0-shot) | 8.46|
|MMLU-PRO (5-shot) |23.44|
|