README.md

---
language:
- en
- ko
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
- text-generation-inference
- not-for-all-audiences
base_model:
- bamec66557/MNRP_0.5
- bamec66557/MISCHIEVOUS-12B
model-index:
- name: MISCHIEVOUS-12B-Mix_0.1v
  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: 36.36
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.1v
      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: 34.36
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.1v
      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: 12.76
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.1v
      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: 10.4
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.1v
      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: 11.54
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.1v
      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: 29.71
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.1v
      name: Open LLM Leaderboard
---

<a href="#" target="_blank"><img src="https://huggingface.co/bamec66557/MISCHIEVOUS-12B/resolve/main/00001-321918068.gif"></a>

# 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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* bamec66557/MNRP_0.5
* [bamec66557/MISCHIEVOUS-12B](https://huggingface.co/bamec66557/MISCHIEVOUS-12B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - Sources:
      - model: bamec66557/MNRP_0.5
        layer_range: [0, 40] # Merge layer range for MNRP_0.5 model
      - model: bamec66557/MISCHIEVOUS-12B
        layer_range: [0, 40] # Merge layer range for MISCHIEVOUS-12B model.

    # Adjust the merge ratio per layer to drive smoother integration
    # Each filter affects a specific mechanism within the model
    parameters:
      t:
        - Filter: self_attn
          value: [0.2, 0.4, 0.6, 0.8, 1.0] # Progressive merging of self-attention layers
        - filter: mlp
          value: [0.8, 0.6, 0.4, 0.2, 0.0] # Merge MLP layers with opposite proportions
        - filter: layer_norm
          value: [0.5, 0.5, 0.5, 0.5, 0.5, 0.5] # Layer Normalisation should be merged uniformly
        - value: 0.7 # Default

merge_method: slerp # change merge method to slerp

base_model: bamec66557/MISCHIEVOUS-12B # base model for merge

dtype: bfloat16 # data type for efficient and fast operations when merging

# Additional available options
regularisation:
  - method: l2_norm # Stabilise merged model weights with L2 normalisation
    scale: 0.01

postprocessing:
  - operation: smoothing # Smooth the weights after merging
    kernel_size: 3
  - operation: normalise # normalise the overall weights


```
# [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/bamec66557__MISCHIEVOUS-12B-Mix_0.1v-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |22.52|
|IFEval (0-Shot)    |36.36|
|BBH (3-Shot)       |34.36|
|MATH Lvl 5 (4-Shot)|12.76|
|GPQA (0-shot)      |10.40|
|MuSR (0-shot)      |11.54|
|MMLU-PRO (5-shot)  |29.71|