license, tags, base_model, model-index

license	tags	base_model	model-index
unlicense	mergekit merge	AI-B/UTENA-7B-NSFW AI-B/UTENA-7B-BAGEL	name results UTENA-7B-NSFW-V2 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 63.31 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AI-B/UTENA-7B-NSFW-V2 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 84.54 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AI-B/UTENA-7B-NSFW-V2 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 63.97 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AI-B/UTENA-7B-NSFW-V2 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 47.81 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AI-B/UTENA-7B-NSFW-V2 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 78.69 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AI-B/UTENA-7B-NSFW-V2 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 42.38 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AI-B/UTENA-7B-NSFW-V2 Open LLM Leaderboard

nsfw

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:

• AI-B/UTENA-7B-NSFW
• AI-B/UTENA-7B-BAGEL

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: AI-B/UTENA-7B-NSFW
        layer_range: [0, 32]
      - model: AI-B/UTENA-7B-BAGEL
        layer_range: [0, 32]
merge_method: slerp
base_model: AI-B/UTENA-7B-NSFW
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Quanitized Models

UTENA-7B-NSFW-V2-GGUF

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	63.45
AI2 Reasoning Challenge (25-Shot)	63.31
HellaSwag (10-Shot)	84.54
MMLU (5-Shot)	63.97
TruthfulQA (0-shot)	47.81
Winogrande (5-shot)	78.69
GSM8k (5-shot)	42.38