README.md

---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- MaziyarPanahi/calme-2.1-phi3.5-4b
- jpacifico/Chocolatine-3B-Instruct-DPO-Revised
model-index:
- name: merge-test
  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: 53.83
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/merge-test
      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: 33.35
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/merge-test
      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: 9.14
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/merge-test
      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: 9.62
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/merge-test
      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: 15.64
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/merge-test
      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: 31.93
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/merge-test
      name: Open LLM Leaderboard
---

# merge-test

merge-test is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [MaziyarPanahi/calme-2.1-phi3.5-4b](https://huggingface.co/MaziyarPanahi/calme-2.1-phi3.5-4b)
* [jpacifico/Chocolatine-3B-Instruct-DPO-Revised](https://huggingface.co/jpacifico/Chocolatine-3B-Instruct-DPO-Revised)

## 🧩 Configuration

```yaml
models:
  - model: microsoft/Phi-3.5-mini-instruct
    # no parameters necessary for base model
  - model: MaziyarPanahi/calme-2.1-phi3.5-4b
    parameters:
      density: 0.8
      weight: 0.5
  - model: jpacifico/Chocolatine-3B-Instruct-DPO-Revised 
    parameters:
      density: 0.8
      weight: 0.3
merge_method: ties
base_model: microsoft/Phi-3.5-mini-instruct
parameters:
  normalize: true
dtype: float16

```
# [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_lesubra__merge-test)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |25.58|
|IFEval (0-Shot)    |53.83|
|BBH (3-Shot)       |33.35|
|MATH Lvl 5 (4-Shot)| 9.14|
|GPQA (0-shot)      | 9.62|
|MuSR (0-shot)      |15.64|
|MMLU-PRO (5-shot)  |31.93|