---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- nbeerbower/mistral-nemo-gutenberg-12B-v3
- nbeerbower/mistral-nemo-gutenberg-12B-v4
- nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
- nbeerbower/mistral-nemo-gutenberg-12B
model-index:
- name: Gutensuppe-mistral-nemo-12B
  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: 29.16
      name: strict accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Gutensuppe-mistral-nemo-12B
      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: 35.57
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Gutensuppe-mistral-nemo-12B
      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: 11.03
      name: exact match
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Gutensuppe-mistral-nemo-12B
      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: 11.63
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Gutensuppe-mistral-nemo-12B
      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: 14.33
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Gutensuppe-mistral-nemo-12B
      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: 29.78
      name: accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Gutensuppe-mistral-nemo-12B
      name: Open LLM Leaderboard
---
# Gutensuppe-mistral-nemo-12B

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/mistral-nemo-gutenberg-12B](https://huggingface.co./nbeerbower/mistral-nemo-gutenberg-12B) as a base.

### Models Merged

The following models were included in the merge:
* [nbeerbower/mistral-nemo-gutenberg-12B-v3](https://huggingface.co./nbeerbower/mistral-nemo-gutenberg-12B-v3)
* [nbeerbower/mistral-nemo-gutenberg-12B-v4](https://huggingface.co./nbeerbower/mistral-nemo-gutenberg-12B-v4)
* [nbeerbower/Lyra-Gutenberg-mistral-nemo-12B](https://huggingface.co./nbeerbower/Lyra-Gutenberg-mistral-nemo-12B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
    - model: nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
    - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    - model: nbeerbower/mistral-nemo-gutenberg-12B-v3
    - model: nbeerbower/mistral-nemo-gutenberg-12B
merge_method: model_stock
base_model: nbeerbower/mistral-nemo-gutenberg-12B
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_nbeerbower__Gutensuppe-mistral-nemo-12B)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |21.92|
|IFEval (0-Shot)    |29.16|
|BBH (3-Shot)       |35.57|
|MATH Lvl 5 (4-Shot)|11.03|
|GPQA (0-shot)      |11.63|
|MuSR (0-shot)      |14.33|
|MMLU-PRO (5-shot)  |29.78|