language, license, datasets, model-index

language	license	datasets	model-index
en	apache-2.0	Open-Orca/SlimOrca	name results GALAXY_v03_slimorca_1_epoch_50k 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 62.71 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/GALAXY_v03_slimorca_1_epoch_50k 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 84.58 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/GALAXY_v03_slimorca_1_epoch_50k 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 65.17 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/GALAXY_v03_slimorca_1_epoch_50k 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 47.3 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/GALAXY_v03_slimorca_1_epoch_50k 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 82.48 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/GALAXY_v03_slimorca_1_epoch_50k 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=TeeZee/GALAXY_v03_slimorca_1_epoch_50k Open LLM Leaderboard

TeeZee/GALAXY-XB-v1.03

Experiment, can DUS be taken one or more steps further?

Technical notes:

• model v03 finetuned on 50k entries from SlimOrca dataset
• 12 layers removed from both models, 4 more than in original paper but its 1/4 of all layers(48) as per original paper.
• base version of upstage/SOLAR-10.7B-v1.0 used for merge

To evaluate

• model performance after finetuning, did it recover initial performance loss after merge?

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	57.04
AI2 Reasoning Challenge (25-Shot)	62.71
HellaSwag (10-Shot)	84.58
MMLU (5-Shot)	65.17
TruthfulQA (0-shot)	47.30
Winogrande (5-shot)	82.48
GSM8k (5-shot)	0.00