---
license: llama3.2
library_name: transformers
tags:
- mergekit
- merge
base_model:
- huihui-ai/MicroThinker-1B-Preview
- huihui-ai/Llama-3.2-1B-Instruct-abliterated
- cognitivecomputations/Dolphin3.0-Llama3.2-1B
model-index:
- name: Llama_3.2_1b_Dolto_0.1
  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: 54.34
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_Dolto_0.1
      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: 6.61
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_Dolto_0.1
      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: 3.7
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_Dolto_0.1
      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: 0.0
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_Dolto_0.1
      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: 2.5
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_Dolto_0.1
      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: 4.04
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_Dolto_0.1
      name: Open LLM Leaderboard
---
# about

Nothing special here, just a first attempt with 1b.

---
# 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 [huihui-ai/Llama-3.2-1B-Instruct-abliterated](https://huggingface.co/huihui-ai/Llama-3.2-1B-Instruct-abliterated) as a base.

### Models Merged

The following models were included in the merge:
* [huihui-ai/MicroThinker-1B-Preview](https://huggingface.co/huihui-ai/MicroThinker-1B-Preview)
* [cognitivecomputations/Dolphin3.0-Llama3.2-1B](https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.2-1B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: model_stock
models:
  - model: cognitivecomputations/Dolphin3.0-Llama3.2-1B
    parameters:
      weight: 1.0
  - model: huihui-ai/MicroThinker-1B-Preview
    parameters:
      weight: 1.0
base_model: huihui-ai/Llama-3.2-1B-Instruct-abliterated
dtype: bfloat16
normalize: true
```
# [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_Dolto_0.1-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |11.87|
|IFEval (0-Shot)    |54.34|
|BBH (3-Shot)       | 6.61|
|MATH Lvl 5 (4-Shot)| 3.70|
|GPQA (0-shot)      | 0.00|
|MuSR (0-shot)      | 2.50|
|MMLU-PRO (5-shot)  | 4.04|