---
language:
- en
- ko
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
- text-generation-inference
- not-for-all-audiences
base_model:
- bamec66557/MISCHIEVOUS-12B-Mix_0.2v
- bamec66557/MISCHIEVOUS-12B-Mix_0.1v
model-index:
- name: MISCHIEVOUS-12B-Mix_0.3v
  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: 38.7
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.3v
      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: 34.39
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.3v
      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: 12.92
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.3v
      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: 9.28
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.3v
      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: 11.44
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.3v
      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: 29.6
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.3v
      name: Open LLM Leaderboard
---

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


# [GGUF] 

* [ Q4_K_M.gguf ](https://huggingface.co/bamec66557/MISCHIEVOUS-12B-Mix_0.3v-Q4_K_M-GGUF)

# 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/MISCHIEVOUS-12B-Mix_0.2v](https://huggingface.co/bamec66557/MISCHIEVOUS-12B-Mix_0.2v)
* [bamec66557/MISCHIEVOUS-12B-Mix_0.1v](https://huggingface.co/bamec66557/MISCHIEVOUS-12B-Mix_0.1v)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.1v
        layer_range: [0, 40]
      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.2v
        layer_range: [0, 40]

    parameters:
      t:
        - filter: self_attn
          value: [0.1, 0.3, 0.7, 0.9, 1.0]  # Spikes for dramatic change
        - filter: mlp
          value: [1.0, 0.7, 0.4, 0.1, 0.0]  # Conversely, a sharp decline
        - filter: layer_norm
          value: [0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7,  # First 10 layers
                  0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3,  # The remaining 30 layers
                  0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3,
                  0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3]
        - value: 0.9  # Set the default merge ratio to high

merge_method: slerp  # maintain slerp

base_model: bamec66557/MISCHIEVOUS-12B-Mix_0.2v  # Base model

dtype: bfloat16  # Data types for fast merges

# Additional options
regularization:
  - method: l2_norm  # Stabilise after merging with L2 normalisation
    scale: 0.005  # Reduce normalisation strength to allow for variation

postprocessing:
  - operation: smoothing  # Smoothing weights after merging
    kernel_size: 5  # Smoothing larger ranges with increased kernel size
  - operation: normalize  # Normalise after merge

```
# [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_0.3v-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |22.72|
|IFEval (0-Shot)    |38.70|
|BBH (3-Shot)       |34.39|
|MATH Lvl 5 (4-Shot)|12.92|
|GPQA (0-shot)      | 9.28|
|MuSR (0-shot)      |11.44|
|MMLU-PRO (5-shot)  |29.60|