README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2
- Fizzarolli/MN-12b-Sunrose
- anthracite-org/magnum-v4-12b
- mistralai/Mistral-Nemo-Instruct-2407
model-index:
- name: MN-12B-Inferor-v0.1
  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: 63.47
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
      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: 30.85
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
      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: 11.78
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
      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: 10.07
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
      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: 15.05
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
      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: 29.58
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
      name: Open LLM Leaderboard
---
# inferor 0.1

Another iteration of inferor but with different base model

![image/png](https://cdn-uploads.huggingface.co/production/uploads/64be962a38953777feaabfc0/VflBXBEkNWGwfK_xVQQis.png)




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 [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) as a base.

### Models Merged

The following models were included in the merge:
* [nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2](https://huggingface.co/nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2)
* [Fizzarolli/MN-12b-Sunrose](https://huggingface.co/Fizzarolli/MN-12b-Sunrose)
* [anthracite-org/magnum-v4-12b](https://huggingface.co/anthracite-org/magnum-v4-12b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: mistralai/Mistral-Nemo-Instruct-2407
dtype: bfloat16
merge_method: model_stock
slices:
- sources:
  - layer_range: [0, 40]
    model: Fizzarolli/MN-12b-Sunrose
  - layer_range: [0, 40]
    model: nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2
  - layer_range: [0, 40]
    model: anthracite-org/magnum-v4-12b
  - layer_range: [0, 40]
    model: mistralai/Mistral-Nemo-Instruct-2407
```

# [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_Svak__MN-12B-Inferor-v0.1)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |26.80|
|IFEval (0-Shot)    |63.47|
|BBH (3-Shot)       |30.85|
|MATH Lvl 5 (4-Shot)|11.78|
|GPQA (0-shot)      |10.07|
|MuSR (0-shot)      |15.05|
|MMLU-PRO (5-shot)  |29.58|