README.md

---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- bamec66557/VICIOUS_MESH-12B-BETA
- bamec66557/VICIOUS_MESH-12B-OMEGA
model-index:
- name: Mistral-Nemo-VICIOUS_MESH-12B-2407
  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: 67.21
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407
      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: 31.36
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407
      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: 12.08
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407
      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: 8.84
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407
      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: 14.34
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407
      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: 29.76
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407
      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/VICIOUS_MESH-12B-BETA](https://huggingface.co/bamec66557/VICIOUS_MESH-12B-BETA)
* [bamec66557/VICIOUS_MESH-12B-OMEGA](https://huggingface.co/bamec66557/VICIOUS_MESH-12B-OMEGA)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: bamec66557/VICIOUS_MESH-12B-OMEGA
dtype: bfloat16
merge_method: slerp
tokenizer_source: base

# Slices Configuration
slices:
  - sources:
      - model: bamec66557/VICIOUS_MESH-12B-OMEGA
        layer_range: [0, 10]
      - model: bamec66557/VICIOUS_MESH-12B-BETA
        layer_range: [0, 10]
    parameters:
      t:
        - name: self_attn
          value: [0.5, 0.55, 0.6, 0.65, 0.7]
        - name: mlp
          value: [1.0, 1.05, 1.1, 1.15, 1.2]
        - name: layer_norm
          value: [0.9, 0.95, 1.0, 1.05, 1.1]

  - sources:
      - model: bamec66557/VICIOUS_MESH-12B-OMEGA
        layer_range: [10, 20]
      - model: bamec66557/VICIOUS_MESH-12B-BETA
        layer_range: [10, 20]
    parameters:
      t:
        - name: self_attn
          value: [0.4, 0.45, 0.5, 0.55, 0.6]
        - name: mlp
          value: [1.1, 1.15, 1.2, 1.25, 1.3]
        - name: layer_norm
          value: [1.0, 1.05, 1.1, 1.15, 1.2]

  - sources:
      - model: bamec66557/VICIOUS_MESH-12B-OMEGA
        layer_range: [20, 30]
      - model: bamec66557/VICIOUS_MESH-12B-BETA
        layer_range: [20, 30]
    parameters:
      t:
        - name: self_attn
          value: [0.6, 0.65, 0.7, 0.75, 0.8]
        - name: mlp
          value: [0.9, 0.95, 1.0, 1.05, 1.1]
        - name: layer_norm
          value: [0.85, 0.9, 0.95, 1.0, 1.05]

  - sources:
      - model: bamec66557/VICIOUS_MESH-12B-OMEGA
        layer_range: [30, 40]
      - model: bamec66557/VICIOUS_MESH-12B-BETA
        layer_range: [30, 40]
    parameters:
      t:
        - name: self_attn
          value: [0.7, 0.75, 0.8, 0.85, 0.9]
        - name: mlp
          value: [0.8, 0.85, 0.9, 0.95, 1.0]
        - name: layer_norm
          value: [0.8, 0.85, 0.9, 0.95, 1.0]

# Regularization
regularization:
  - method: gradient_penalty
    scale: 0.05  # Increased influence for gradient control
  - method: weight_clipping
    clip_range: [-0.2, 0.2]  # Broader clipping range for flexibility
  - method: random_noise
    scale: 0.01  # Stronger noise injection
  - method: attention_dropout
    scale: 0.1  # Higher dropout to reduce attention fixation

# Postprocessing
postprocessing:
  - operation: entropy_regularization
    scale: 0.05  # Stronger encouragement for diverse outputs
  - operation: non_linear_scaling
    parameters:
      function: tanh
  - operation: sharpening
    intensity: 0.5  # Enhanced sharpening for precise outputs
  - operation: gaussian_smoothing
    sigma: 1.5  # Increased smoothing for stable outputs
  - operation: normalize
  - operation: dynamic_scaling
    scale_range: [0.8, 1.2]  # Expanded dynamic range for scaling
  - operation: smoothing
    parameters:
      adaptive: true
      range: [0.85, 1.15]  # Wider adaptive smoothing range
      kernel_size: 5

```
# [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__Mistral-Nemo-VICIOUS_MESH-12B-2407-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |27.26|
|IFEval (0-Shot)    |67.21|
|BBH (3-Shot)       |31.36|
|MATH Lvl 5 (4-Shot)|12.08|
|GPQA (0-shot)      | 8.84|
|MuSR (0-shot)      |14.34|
|MMLU-PRO (5-shot)  |29.76|