README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- unsloth/gemma-2-27b-it
- AALF/gemma-2-27b-it-SimPO-37K-100steps
- djuna/G2-BigGSHT-27B-calc
model-index:
- name: G2-BigGSHT-27B-2
  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: 79.74
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/G2-BigGSHT-27B-2
      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: 48.81
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/G2-BigGSHT-27B-2
      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/G2-BigGSHT-27B-2
      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: 15.1
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/G2-BigGSHT-27B-2
      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: 9.93
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/G2-BigGSHT-27B-2
      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: 39.2
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/G2-BigGSHT-27B-2
      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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [AALF/gemma-2-27b-it-SimPO-37K-100steps](https://huggingface.co/AALF/gemma-2-27b-it-SimPO-37K-100steps) as a base.

### Models Merged

The following models were included in the merge:
* [unsloth/gemma-2-27b-it](https://huggingface.co/unsloth/gemma-2-27b-it)
* [djuna/G2-BigGSHT-27B-calc](https://huggingface.co/djuna/G2-BigGSHT-27B-calc)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: djuna/G2-BigGSHT-27B-calc
  - model: unsloth/gemma-2-27b-it
merge_method: model_stock
base_model: AALF/gemma-2-27b-it-SimPO-37K-100steps
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__G2-BigGSHT-27B-2)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |32.13|
|IFEval (0-Shot)    |79.74|
|BBH (3-Shot)       |48.81|
|MATH Lvl 5 (4-Shot)| 0.00|
|GPQA (0-shot)      |15.10|
|MuSR (0-shot)      | 9.93|
|MMLU-PRO (5-shot)  |39.20|