README.md

---
license: cc-by-nc-4.0
tags:
- merge
model-index:
- name: Psyfighter2-Noromaid-ties-13B
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 61.86
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Psyfighter2-Noromaid-ties-13B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 84.58
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Psyfighter2-Noromaid-ties-13B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 57.04
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Psyfighter2-Noromaid-ties-13B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 50.66
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Psyfighter2-Noromaid-ties-13B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 75.37
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Psyfighter2-Noromaid-ties-13B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 27.29
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Psyfighter2-Noromaid-ties-13B
      name: Open LLM Leaderboard
---
Merge of [KoboldAI/LLaMA2-13B-Psyfighter2](https://huggingface.co./KoboldAI/LLaMA2-13B-Psyfighter2) and [NeverSleep/Noromaid-13b-v0.1.1](https://huggingface.co./NeverSleep/Noromaid-13b-v0.1.1)

.yaml file for mergekit

```
models:
  - model: LLaMA2-13B-Psyfighter2
  - model: Noromaid-13b-v0.1.1
    parameters:
      density: 0.65
      weight: [0, 0.3, 0.7, 1]
merge_method: ties
base_model: LLaMA2-13B-Psyfighter2
parameters:
  normalize: true
  int8_mask: true
dtype: float16
```

| Metric | Value |
| --- | --- |
| Avg. | 59.47 |
| ARC (25-shot) | 61.86 |
| HellaSwag (10-shot) | 84.58 |
| MMLU (5-shot) | 57.04 |
| TruthfulQA (0-shot) | 50.66 |
| Winogrande (5-shot) | 75.37 |
| GSM8K (5-shot) | 27.29 |
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/details_diffnamehard__Psyfighter2-Noromaid-ties-13B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |59.47|
|AI2 Reasoning Challenge (25-Shot)|61.86|
|HellaSwag (10-Shot)              |84.58|
|MMLU (5-Shot)                    |57.04|
|TruthfulQA (0-shot)              |50.66|
|Winogrande (5-shot)              |75.37|
|GSM8k (5-shot)                   |27.29|