---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- cognitivecomputations/Dolphin3.0-Llama3.2-1B
- pankajmathur/orca_mini_v9_6_1B-instruct
- artificialguybr/LLAMA3.2-1B-Synthia-II-Redmond
model-index:
- name: Llama_3.2_1b_AquaSyn_0.11
  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: 24.31
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_AquaSyn_0.11
      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: 3.65
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_AquaSyn_0.11
      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: 2.34
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_AquaSyn_0.11
      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: 2.01
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_AquaSyn_0.11
      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: 1.6
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_AquaSyn_0.11
      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: 1.29
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_AquaSyn_0.11
      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 [artificialguybr/LLAMA3.2-1B-Synthia-II-Redmond](https://huggingface.co/artificialguybr/LLAMA3.2-1B-Synthia-II-Redmond) as a base.

### Models Merged

The following models were included in the merge:
* [cognitivecomputations/Dolphin3.0-Llama3.2-1B](https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.2-1B)
* [pankajmathur/orca_mini_v9_6_1B-instruct](https://huggingface.co/pankajmathur/orca_mini_v9_6_1B-instruct)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: model_stock
models:
  - model: pankajmathur/orca_mini_v9_6_1B-instruct
    parameters:
      weight: 1.0
  - model: cognitivecomputations/Dolphin3.0-Llama3.2-1B
    parameters:
      weight: 1.0
base_model: artificialguybr/LLAMA3.2-1B-Synthia-II-Redmond
dtype: bfloat16
normalize: false
chat_template: auto
tokenizer:
  source: union
```

# [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/Nexesenex__Llama_3.2_1b_AquaSyn_0.11-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               | 5.87|
|IFEval (0-Shot)    |24.31|
|BBH (3-Shot)       | 3.65|
|MATH Lvl 5 (4-Shot)| 2.34|
|GPQA (0-shot)      | 2.01|
|MuSR (0-shot)      | 1.60|
|MMLU-PRO (5-shot)  | 1.29|