---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Tsunami-th/Tsunami-0.5x-7B-Instruct
- Qwen/Qwen2.5-Math-7B
model-index:
- name: 2_PRYMMAL-ECE-7B-SLERP-V3
  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: 22.35
      name: strict accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3
      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: 10.61
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3
      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: 0.0
      name: exact match
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3
      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: 0.89
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3
      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: 9.74
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3
      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: 9.08
      name: accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3
      name: Open LLM Leaderboard
---
# merged_model

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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [Tsunami-th/Tsunami-0.5x-7B-Instruct](https://huggingface.co./Tsunami-th/Tsunami-0.5x-7B-Instruct)
* [Qwen/Qwen2.5-Math-7B](https://huggingface.co./Qwen/Qwen2.5-Math-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: Tsunami-th/Tsunami-0.5x-7B-Instruct
        layer_range: [0, 28]
      - model: Qwen/Qwen2.5-Math-7B
        layer_range: [0, 28]    
merge_method: slerp
base_model: Tsunami-th/Tsunami-0.5x-7B-Instruct
parameters:
  t:
    - filter: self_attn
      value: [0, 0.1, 0.2, 0.3, 0.4]  # Influence réduite pour Qwen sur les couches d'attention
    - filter: mlp
      value: [0, 0.15, 0.3, 0.45, 0.6]  # Influence légèrement accrue pour les couches MLP
    - value: 0.2  # Ajustement général pour favoriser Tsunami sur l'ensemble
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_Lil-R__2_PRYMMAL-ECE-7B-SLERP-V3)

|      Metric       |Value|
|-------------------|----:|
|Avg.               | 8.78|
|IFEval (0-Shot)    |22.35|
|BBH (3-Shot)       |10.61|
|MATH Lvl 5 (4-Shot)| 0.00|
|GPQA (0-shot)      | 0.89|
|MuSR (0-shot)      | 9.74|
|MMLU-PRO (5-shot)  | 9.08|