---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- shuttleai/shuttle-2.5-mini
- mistralai/Mistral-Nemo-Base-2407
- Undi95/LocalC-12B-e2.0
model-index:
- name: StableProse
  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: 19.72
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nlpguy/StableProse
      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: 30.18
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nlpguy/StableProse
      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: 4.68
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nlpguy/StableProse
      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: 7.05
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nlpguy/StableProse
      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: 8.87
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nlpguy/StableProse
      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: 27.43
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nlpguy/StableProse
      name: Open LLM Leaderboard
---

**EDIT: Early IFEval Results aren't looking great, keep this in mind when using this model.**

# merged

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

### Models Merged

The following models were included in the merge:
* [shuttleai/shuttle-2.5-mini](https://huggingface.co/shuttleai/shuttle-2.5-mini)
* [Undi95/LocalC-12B-e2.0](https://huggingface.co/Undi95/LocalC-12B-e2.0)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: mistralai/Mistral-Nemo-Base-2407
dtype: bfloat16
merge_method: model_stock
slices:
- sources:
  - layer_range: [0, 40]
    model: mistralai/Mistral-Nemo-Base-2407
  - layer_range: [0, 40]
    model: Undi95/LocalC-12B-e2.0
  - layer_range: [0, 40]
    model: shuttleai/shuttle-2.5-mini
```

# [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_nlpguy__StableProse)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |16.32|
|IFEval (0-Shot)    |19.72|
|BBH (3-Shot)       |30.18|
|MATH Lvl 5 (4-Shot)| 4.68|
|GPQA (0-shot)      | 7.05|
|MuSR (0-shot)      | 8.87|
|MMLU-PRO (5-shot)  |27.43|