ereb-test/README.md

license, tags, model-index

license	tags	model-index
llama2	merge mergekit	name results ereb-test 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 40.7 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aryanne/ereb-test 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 71.04 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aryanne/ereb-test 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 28.06 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aryanne/ereb-test 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 47.4 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aryanne/ereb-test 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 63.93 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aryanne/ereb-test 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 0.0 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aryanne/ereb-test Open LLM Leaderboard

Another trial of merging models with different sizes, still under testing, should be more stable, but I have no ideia if it's improving or degrading the base model.

Recipe:

merge_method: task_anysize
base_model: princeton-nlp/Sheared-LLaMA-2.7B-ShareGPT
models:
  - model: KoboldAI/Mistral-7B-Erebus-v3
    parameters:
      weight: 0.5
dtype: bfloat16 

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	41.85
AI2 Reasoning Challenge (25-Shot)	40.70
HellaSwag (10-Shot)	71.04
MMLU (5-Shot)	28.06
TruthfulQA (0-shot)	47.40
Winogrande (5-shot)	63.93
GSM8k (5-shot)	0.00