language, license, library_name, tags, base_model, model-index

language	license	library_name	tags	base_model	model-index
en	apache-2.0	transformers	qlora dto	mistralai/Mistral-7B-v0.1	name results garten2-7b 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 69.37 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=senseable/garten2-7b 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 87.54 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=senseable/garten2-7b 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 65.44 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=senseable/garten2-7b 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 59.5 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=senseable/garten2-7b 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 84.69 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=senseable/garten2-7b 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 69.37 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=senseable/garten2-7b Open LLM Leaderboard

Details

Introducing Garten2-7B, a cutting-edge, small 7B all-purpose Language Model (LLM), designed to redefine the boundaries of artificial intelligence in natural language understanding and generation. Garten2-7B stands out with its unique architecture, expertly crafted to deliver exceptional performance in a wide array of tasks, from conversation to content creation.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	72.65
AI2 Reasoning Challenge (25-Shot)	69.37
HellaSwag (10-Shot)	87.54
MMLU (5-Shot)	65.44
TruthfulQA (0-shot)	59.50
Winogrande (5-shot)	84.69
GSM8k (5-shot)	69.37