---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
- not-for-all-audiences
model-index:
- name: NameLess-12B-prob
  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: 66.02
      name: strict accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/NameLess-12B-prob
      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/NameLess-12B-prob
      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: 11.1
      name: exact match
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/NameLess-12B-prob
      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: 8.61
      name: acc_norm
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/NameLess-12B-prob
      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: 14.7
      name: acc_norm
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/NameLess-12B-prob
      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: 29.83
      name: accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/NameLess-12B-prob
      name: Open LLM Leaderboard
datasets:
- open-llm-leaderboard/bamec66557__NameLess-12B-prob-details
---
# Z-2-A.TEST-TEMP-MODEL

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:
* D:\VICIOUS_MESH-12B-OMEGA
* D:\jetreessence

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: "D:\\VICIOUS_MESH-12B-OMEGA"
  - model: "D:\\jetreessence"
merge_method: slerp
base_model: "D:\\VICIOUS_MESH-12B-OMEGA"
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0]

regularization:
  - method: gradient_penalty
    scale: 0.05
  - method: weight_clipping
    clip_range: [-0.15, 0.15]
  - method: random_noise
    scale: 0.01
  - method: attention_dropout
    scale: 0.02

postprocessing:
  - operation: entropy_regularization
    scale: 0.05
  - operation: non_linear_scaling
    parameters:
      function: relu
  - operation: sharpening
    intensity: 0.6
  - operation: gaussian_smoothing
    sigma: 0.3
  - operation: normalize
  - operation: dynamic_scaling
    scale_range: [0.98, 1.02]
  - operation: smoothing
    parameters:
      adaptive: true
      range: [0.98, 1.02]
      kernel_size: 3
```
# [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__NameLess-12B-prob-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |26.94|
|IFEval (0-Shot)    |66.02|
|BBH (3-Shot)       |31.36|
|MATH Lvl 5 (4-Shot)|11.10|
|GPQA (0-shot)      | 8.61|
|MuSR (0-shot)      |14.70|
|MMLU-PRO (5-shot)  |29.83|