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---
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|
|