README.md

---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- jpacifico/Chocolatine-3B-Instruct-DPO-Revised
- microsoft/Phi-3.5-mini-instruct
model-index:
- name: ECE-PRYMMAL-3B-SLERP-V1
  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: 29.33
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/ECE-PRYMMAL-3B-SLERP-V1
      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: 35.05
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/ECE-PRYMMAL-3B-SLERP-V1
      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: 9.82
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/ECE-PRYMMAL-3B-SLERP-V1
      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: 8.95
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/ECE-PRYMMAL-3B-SLERP-V1
      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: 16.64
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/ECE-PRYMMAL-3B-SLERP-V1
      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: 32.23
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/ECE-PRYMMAL-3B-SLERP-V1
      name: Open LLM Leaderboard
---

# ECE-PRYMMAL-3B-SLERP-V1

ECE-PRYMMAL-3B-SLERP-V1 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [jpacifico/Chocolatine-3B-Instruct-DPO-Revised](https://huggingface.co/jpacifico/Chocolatine-3B-Instruct-DPO-Revised)
* [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct)

## 🧩 Configuration

```yaml
slices:
  - sources:
      - model: jpacifico/Chocolatine-3B-Instruct-DPO-Revised
        layer_range: [0, 32]
      - model: microsoft/Phi-3.5-mini-instruct
        layer_range: [0, 32]
merge_method: slerp
base_model: jpacifico/Chocolatine-3B-Instruct-DPO-Revised
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16
```
# [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__ECE-PRYMMAL-3B-SLERP-V1)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |22.00|
|IFEval (0-Shot)    |29.33|
|BBH (3-Shot)       |35.05|
|MATH Lvl 5 (4-Shot)| 9.82|
|GPQA (0-shot)      | 8.95|
|MuSR (0-shot)      |16.64|
|MMLU-PRO (5-shot)  |32.23|