language, license, datasets, model-index

language	license	datasets	model-index
en	apache-2.0	bigcode/starcoderdata tiiuae/falcon-refinedweb	name results openllama-7b-base 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 46.16 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/openllama-7b-base 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 76.4 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/openllama-7b-base 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 42.82 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/openllama-7b-base 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 36.65 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/openllama-7b-base 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 70.88 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/openllama-7b-base 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 9.63 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/openllama-7b-base Open LLM Leaderboard

A Reproduction of OpenLLaMA using 128 H100 GPUs in Bfloat16.

The pretrain data consists of Falcon, Starcoder, and the wikipedia, arxiv, books, stackexchange from RedPajama. In total, this encompassed nearly 1 trillion tokens.

The model was trained over a single epoch, incorporating 2000 warm-up steps and a cosine learning rate schedule, starting at 3e-5 with 4M batch size.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	47.09
AI2 Reasoning Challenge (25-Shot)	46.16
HellaSwag (10-Shot)	76.40
MMLU (5-Shot)	42.82
TruthfulQA (0-shot)	36.65
Winogrande (5-shot)	70.88
GSM8k (5-shot)	9.63