---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- bunnycore/Llama-3.2-3B-All-Mix
- prithivMLmods/Codepy-Deepthink-3B
- huihui-ai/Llama-3.2-3B-Instruct-abliterated
model-index:
- name: Llama-3.2-3B-RP-DeepThink
  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: 71.44
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.2-3B-RP-DeepThink
      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: 23.76
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.2-3B-RP-DeepThink
      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: 15.18
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.2-3B-RP-DeepThink
      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: 2.13
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.2-3B-RP-DeepThink
      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: 0.94
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.2-3B-RP-DeepThink
      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: 24.91
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.2-3B-RP-DeepThink
      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 [linear](https://arxiv.org/abs/2203.05482) merge method using [huihui-ai/Llama-3.2-3B-Instruct-abliterated](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated) as a base.

### Models Merged

The following models were included in the merge:
* [bunnycore/Llama-3.2-3B-All-Mix](https://huggingface.co/bunnycore/Llama-3.2-3B-All-Mix)
* [prithivMLmods/Codepy-Deepthink-3B](https://huggingface.co/prithivMLmods/Codepy-Deepthink-3B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml


merge_method: linear
dtype: bfloat16
normalize: true
base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
models:
  - model: bunnycore/Llama-3.2-3B-All-Mix
    parameters:
      weight: 10
      density: 1
  - model: prithivMLmods/Codepy-Deepthink-3B
    parameters:
      weight: 7
      density: 0.8
  - model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
    parameters:
      weight: 7
      density: 0.8

```

# [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/bunnycore__Llama-3.2-3B-RP-DeepThink-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |23.06|
|IFEval (0-Shot)    |71.44|
|BBH (3-Shot)       |23.76|
|MATH Lvl 5 (4-Shot)|15.18|
|GPQA (0-shot)      | 2.13|
|MuSR (0-shot)      | 0.94|
|MMLU-PRO (5-shot)  |24.91|