GeneZC/MiniMA-2-1B

MiniMA-2-1B

📑 arXiv | 👻 GitHub | 🤗 HuggingFace-MiniMA-3B | 🤗 HuggingFace-MiniChat-3B | 🤖 ModelScope-MiniMA-3B | 🤖 ModelScope-MiniChat-3B | 🤗 HuggingFace-MiniChat-1.5-3B | 🤗 HuggingFace-MiniMA-2-3B | 🤗 HuggingFace-MiniChat-2-3B | 🤗 HuggingFace-MiniMA-2-1B | 🤗 HuggingFace-MiniLoong-3B | 🤗 HuggingFace-MiniMix-2/4x3B

❗ Must comply with LICENSE of LLaMA-2 since it is derived from LLaMA-2.

Standard Benchmarks

Method	TFLOPs	MMLU (5-shot)	CEval (5-shot)	DROP (3-shot)	HumanEval (0-shot)	BBH (3-shot)	GSM8K (8-shot)
Mamba-2.8B	4.6E9	25.58	24.74	15.72	7.32	29.37	3.49
ShearedLLaMA-2.7B	0.8E9	26.97	22.88	19.98	4.88	30.48	3.56
BTLM-3B	11.3E9	27.20	26.00	17.84	10.98	30.87	4.55
StableLM-3B	72.0E9	44.75	31.05	22.35	15.85	32.59	10.99
Qwen-1.8B	23.8E9	44.05	54.75	12.97	14.02	30.80	22.97
Phi-2-2.8B	159.9E9	56.74	34.03	30.74	46.95	44.13	55.42
LLaMA-2-7B	84.0E9	46.00	34.40	31.57	12.80	32.02	14.10
MiniMA-3B	4.0E9	28.51	28.23	22.50	10.98	31.61	8.11
MiniMA-2-1B	6.3E9	31.34	34.92	20.08	10.37	31.16	7.28
MiniMA-2-3B	13.4E9	40.14	44.65	23.10	14.63	31.43	8.87
MiniMix-2/4x3B	25.4E9	44.35	45.77	33.78	18.29	33.60	21.61
MiniChat-3B	4.0E9	38.40	36.48	22.58	18.29	31.36	29.72
MiniChat-2-3B	13.4E9	46.17	43.91	30.26	22.56	34.95	38.13

Bibtex

@article{zhang2023law,
    title={Towards the Law of Capacity Gap in Distilling Language Models},
    author={Zhang, Chen and Song, Dawei and Ye, Zheyu and Gao, Yan},
    year={2023},
    url={https://arxiv.org/abs/2311.07052}
}