license, tags, datasets, base_model, model-index

license	tags	datasets	base_model	model-index
apache-2.0	mergekit merge	Intel/orca_dpo_pairs NeuralNovel/Neural-Story-v1	NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story NeuralNovel/Gecko-7B-v0.1-DPO	name results Tiger-7b-v0.1 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 59.98 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Tiger-7b-v0.1 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 83.21 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Tiger-7b-v0.1 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 61.42 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Tiger-7b-v0.1 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 61.03 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Tiger-7b-v0.1 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 77.66 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Tiger-7b-v0.1 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 46.78 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Tiger-7b-v0.1 Open LLM Leaderboard

Tiger-7b-v0.1

This is a merge of pre-trained language models created using mergekit.

Join our Discord!

Metrics

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
• NeuralNovel/Gecko-7B-v0.1-DPO

merge

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
        layer_range: [0, 32]
      - model: NeuralNovel/Gecko-7B-v0.1-DPO
        layer_range: [0, 32]
merge_method: slerp
base_model: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
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

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	65.02
AI2 Reasoning Challenge (25-Shot)	59.98
HellaSwag (10-Shot)	83.21
MMLU (5-Shot)	61.42
TruthfulQA (0-shot)	61.03
Winogrande (5-shot)	77.66
GSM8k (5-shot)	46.78