license, tags, model-index

license	tags	model-index
apache-2.0	moe	name results MixTAO-7Bx2-MoE-v8.1 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 73.81 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1 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 89.22 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1 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 64.92 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1 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 78.57 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1 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 87.37 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1 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 71.11 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1 Open LLM Leaderboard

MixTAO-7Bx2-MoE

MixTAO-7Bx2-MoE is a Mixture of Experts (MoE). This model is mainly used for large model technology experiments, and increasingly perfect iterations will eventually create high-level large language models.

Prompt Template (Alpaca)

### Instruction:
<prompt> (without the <>)
### Response:

🦒 Colab

Link	Info - Model Name
	MixTAO-7Bx2-MoE-v8.1
mixtao-7bx2-moe-v8.1.Q4_K_M.gguf	GGUF of MixTAO-7Bx2-MoE-v8.1 Only Q4_K_M in https://huggingface.co/zhengr/MixTAO-7Bx2-MoE-v8.1-GGUF
Demo Space	https://huggingface.co/spaces/zhengr/MixTAO-7Bx2-MoE-v8.1/

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	77.50
AI2 Reasoning Challenge (25-Shot)	73.81
HellaSwag (10-Shot)	89.22
MMLU (5-Shot)	64.92
TruthfulQA (0-shot)	78.57
Winogrande (5-shot)	87.37
GSM8k (5-shot)	71.11