README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
- mlabonne/NeuralDaredevil-8B-abliterated
model-index:
- name: BuddyGlassNeverSleeps
  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: 42.39
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
      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: 28.48
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
      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: 5.74
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
      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: 5.93
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
      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: 8.61
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
      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: 27.25
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
      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 della merge method using [Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2](https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2) as a base.

### Models Merged

The following models were included in the merge:
* [mlabonne/NeuralDaredevil-8B-abliterated](https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
    parameters:
      weight: 1.0
  - model: mlabonne/NeuralDaredevil-8B-abliterated
    parameters:
      weight: 1.0
base_model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
merge_method: della
parameters:
  normalize: true
  int8_mask: true
  density: 0.7
  lambda: 1.1
  epsilon: 0.2
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_darkc0de__BuddyGlassNeverSleeps)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |19.73|
|IFEval (0-Shot)    |42.39|
|BBH (3-Shot)       |28.48|
|MATH Lvl 5 (4-Shot)| 5.74|
|GPQA (0-shot)      | 5.93|
|MuSR (0-shot)      | 8.61|
|MMLU-PRO (5-shot)  |27.25|