---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- NeverSleep/Noromaid-7b-v0.2
- NeuralNovel/Aeryth-7B-v0.1
pipeline_tag: text-generation
model-index:
- name: Noromaid-Aeryth-7B
  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: 56.74
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=s3nh/Noromaid-Aeryth-7B
      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: 78.62
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=s3nh/Noromaid-Aeryth-7B
      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: 57.29
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=s3nh/Noromaid-Aeryth-7B
      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: 65.66
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=s3nh/Noromaid-Aeryth-7B
      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: 71.82
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=s3nh/Noromaid-Aeryth-7B
      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: 16.76
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=s3nh/Noromaid-Aeryth-7B
      name: Open LLM Leaderboard
---
# Noromaid-Aeryth-7B

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:
* [NeverSleep/Noromaid-7b-v0.2](https://huggingface.co/NeverSleep/Noromaid-7b-v0.2)
* [NeuralNovel/Aeryth-7B-v0.1](https://huggingface.co/NeuralNovel/Aeryth-7B-v0.1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: NeverSleep/Noromaid-7b-v0.2
dtype: float16
merge_method: slerp
parameters:
  t:
  - filter: self_attn
    value: [0.22, 0.61, 0.46, 0.77, 1.0]
  - filter: mlp
    value: [0.78, 0.39, 0.54, 0.23, 0.0]
  - value: 0.5
slices:
- sources:
  - layer_range: [0, 32]
    model: NeuralNovel/Aeryth-7B-v0.1
```
# [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_s3nh__Noromaid-Aeryth-7B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |57.82|
|AI2 Reasoning Challenge (25-Shot)|56.74|
|HellaSwag (10-Shot)              |78.62|
|MMLU (5-Shot)                    |57.29|
|TruthfulQA (0-shot)              |65.66|
|Winogrande (5-shot)              |71.82|
|GSM8k (5-shot)                   |16.76|