---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003
- LeroyDyer/SpydazWeb_AI_Text_AudioVision_Project_r1
model-index:
- name: SpydazWeb_HumanAI_M3
  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: 15.79
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_HumanAI_M3
      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: 4.77
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_HumanAI_M3
      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: 0.23
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_HumanAI_M3
      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: 2.8
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_HumanAI_M3
      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: 7.13
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_HumanAI_M3
      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: 1.65
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_HumanAI_M3
      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 [TIES](https://arxiv.org/abs/2306.01708) merge method using SpydazWeb_HumanAI_M2 as a base.

### Models Merged

The following models were included in the merge:
* [LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003](https://huggingface.co/LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003)
* [LeroyDyer/SpydazWeb_AI_Text_AudioVision_Project_r1](https://huggingface.co/LeroyDyer/SpydazWeb_AI_Text_AudioVision_Project_r1)
* SpydazWeb_HumanAI_M1

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: SpydazWeb_HumanAI_M1
    parameters:
      density: 0.256
      weight: [0.768, 0.768, 0.128, 0.128] # weight gradient
  - model: SpydazWeb_HumanAI_M2
    parameters:
      density: 0.768
      weight: [0.128, 0.512, 0.768, 0.256] # weight gradient
  - model: LeroyDyer/SpydazWeb_AI_Text_AudioVision_Project_r1
    parameters:
      density: 0.768
      weight: [0.128, 0.512, 0.768, 0.256] # weight gradient
  - model: LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003
    parameters:
      density: 0.256
      weight:
        - filter: mlp
          value: 0.768
        - value: 0.512
merge_method: ties
base_model: SpydazWeb_HumanAI_M2
parameters:
  normalize: true
  int8_mask: true
dtype: float16

```

# [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_LeroyDyer__SpydazWeb_HumanAI_M3)

|      Metric       |Value|
|-------------------|----:|
|Avg.               | 5.39|
|IFEval (0-Shot)    |15.79|
|BBH (3-Shot)       | 4.77|
|MATH Lvl 5 (4-Shot)| 0.23|
|GPQA (0-shot)      | 2.80|
|MuSR (0-shot)      | 7.13|
|MMLU-PRO (5-shot)  | 1.65|