Noromaid-Aeryth-7B/README.md

license, library_name, tags, base_model, pipeline_tag, model-index

license	library_name	tags	base_model	pipeline_tag	model-index
apache-2.0	transformers	mergekit merge	NeverSleep/Noromaid-7b-v0.2 NeuralNovel/Aeryth-7B-v0.1	text-generation	name results Noromaid-Aeryth-7B task dataset metrics source type name text-generation Text Generation name type config split args AI2 Reasoning Challenge (25-Shot) ai2_arc ARC-Challenge test num_few_shot 25 type value name acc_norm 56.74 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=s3nh/Noromaid-Aeryth-7B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type split args HellaSwag (10-Shot) hellaswag validation num_few_shot 10 type value name acc_norm 78.62 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=s3nh/Noromaid-Aeryth-7B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU (5-Shot) cais/mmlu all test num_few_shot 5 type value name acc 57.29 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=s3nh/Noromaid-Aeryth-7B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args TruthfulQA (0-shot) truthful_qa multiple_choice validation num_few_shot 0 type value mc2 65.66 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=s3nh/Noromaid-Aeryth-7B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args Winogrande (5-shot) winogrande winogrande_xl validation num_few_shot 5 type value name acc 71.82 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=s3nh/Noromaid-Aeryth-7B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args GSM8k (5-shot) gsm8k main test num_few_shot 5 type value name acc 16.76 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=s3nh/Noromaid-Aeryth-7B Open LLM Leaderboard

Noromaid-Aeryth-7B

This is a merge of pre-trained language models created using 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
• NeuralNovel/Aeryth-7B-v0.1

Configuration

The following YAML configuration was used to produce this model:

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

Detailed results can be found here

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