README.md

---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
- not-for-all-audiences
base_model:
- bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
- bamec66557/MISCHIEVOUS-12B-Mix_0.4v
model-index:
- name: MISCHIEVOUS-12B-Mix_0.6v
  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: 43.66
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.6v
      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: 34.73
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.6v
      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: 12.31
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.6v
      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_0.6v
      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: 12.34
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.6v
      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: 29.58
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.6v
      name: Open LLM Leaderboard
---
# 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_III_IV_V](https://huggingface.co/bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V)
* [bamec66557/MISCHIEVOUS-12B-Mix_0.4v](https://huggingface.co/bamec66557/MISCHIEVOUS-12B-Mix_0.4v)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
        layer_range: [0, 8]
      - model: bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
        layer_range: [0, 8]
    parameters:
      t:
        - value: 0.72
  - sources:
      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
        layer_range: [8, 16]
      - model: bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
        layer_range: [8, 16]
    parameters:
      t:
        - value: [0.75, 0.85, 0.75]
  - sources:
      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
        layer_range: [16, 24]
      - model: bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
        layer_range: [16, 24]
    parameters:
      t:
        - value: [0.85, 1.0, 0.85]
        - filter: feed_forward
          value: [0.9, 1.0, 1.1]
  - sources:
      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
        layer_range: [24, 32]
      - model: bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
        layer_range: [24, 32]
    parameters:
      t:
        - value: [0.95, 1.0, 0.95]
  - sources:
      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
        layer_range: [32, 40]
      - model: bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
        layer_range: [32, 40]
    parameters:
      t:
        - value: 1.0
        - filter: self_attn
          value: [0.92, 1.0, 1.08]
merge_method: slerp
base_model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
regularization:
  - method: weight_clipping
    clip_range: [-0.04, 0.04]
postprocessing:
  - operation: gaussian_smoothing
    sigma: 0.9
  - operation: normalize
  - operation: quantize
    target_dtype: int8
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/bamec66557__MISCHIEVOUS-12B-Mix_0.6v-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |23.84|
|IFEval (0-Shot)    |43.66|
|BBH (3-Shot)       |34.73|
|MATH Lvl 5 (4-Shot)|12.31|
|GPQA (0-shot)      |10.40|
|MuSR (0-shot)      |12.34|
|MMLU-PRO (5-shot)  |29.58|