---
language:
- en
license: llama3.2
library_name: transformers
tags:
- mergekit
- merge
base_model:
- cognitivecomputations/Dolphin3.0-Llama3.2-3B
- bunnycore/Llama-3.2-3B-R1-lora
model-index:
- name: Porpoise-R1-Llama3.2-3b
  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: 43.52
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Porpoise-R1-Llama3.2-3b
      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: 12.93
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Porpoise-R1-Llama3.2-3b
      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: 4.23
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Porpoise-R1-Llama3.2-3b
      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: 2.24
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Porpoise-R1-Llama3.2-3b
      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: 6.44
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Porpoise-R1-Llama3.2-3b
      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: 12.41
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Porpoise-R1-Llama3.2-3b
      name: Open LLM Leaderboard
---
# Merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details

Llama 3.2 3b model combined with lora trained on reasoning datasets.

### Merge Method

This model was merged using the Passthrough merge method using [cognitivecomputations/Dolphin3.0-Llama3.2-3B](https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.2-3B) + [bunnycore/Llama-3.2-3B-R1-lora](https://huggingface.co/bunnycore/Llama-3.2-3B-R1-lora) as a base.

### Models Merged

The following models were included in the merge:


### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: cognitivecomputations/Dolphin3.0-Llama3.2-3B+bunnycore/Llama-3.2-3B-R1-lora
dtype: bfloat16
merge_method: passthrough
models:
  - model: cognitivecomputations/Dolphin3.0-Llama3.2-3B+bunnycore/Llama-3.2-3B-R1-lora
tokenizer_source: cognitivecomputations/Dolphin3.0-Llama3.2-3B

```
# [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/Triangle104__Porpoise-R1-Llama3.2-3b-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |13.63|
|IFEval (0-Shot)    |43.52|
|BBH (3-Shot)       |12.93|
|MATH Lvl 5 (4-Shot)| 4.23|
|GPQA (0-shot)      | 2.24|
|MuSR (0-shot)      | 6.44|
|MMLU-PRO (5-shot)  |12.41|