Colossal-AI-readme-1.md

修订 662db5f484a8fb5faadd88a62815d0d905c9215d

Colossal-AI-readme-1.md · 3.1 KiB · Markdown 原始文件

| Model | Backbone | Tokens Consumed | MMLU (5-shot) | CMMLU (5-shot)| AGIEval (5-shot) | GAOKAO (0-shot) | CEval (5-shot) | | :-----------------------------: | :--------: | :-------------: | :------------------: | :-----------: | :--------------: | :-------------: | :-------------: | | Baichuan-7B | - | 1.2T | 42.32 (42.30) | 44.53 (44.02) | 38.72 | 36.74 | 42.80 | | Baichuan-13B-Base | - | 1.4T | 50.51 (51.60) | 55.73 (55.30) | 47.20 | 51.41 | 53.60 | | Baichuan2-7B-Base | - | 2.6T | 46.97 (54.16) | 57.67 (57.07) | 45.76 | 52.60 | 54.00 | | Baichuan2-13B-Base | - | 2.6T | 54.84 (59.17) | 62.62 (61.97) | 52.08 | 58.25 | 58.10 | | ChatGLM-6B | - | 1.0T | 39.67 (40.63) | 41.17 (-) | 40.10 | 36.53 | 38.90 | | ChatGLM2-6B | - | 1.4T | 44.74 (45.46) | 49.40 (-) | 46.36 | 45.49 | 51.70 | | InternLM-7B | - | 1.6T | 46.70 (51.00) | 52.00 (-) | 44.77 | 61.64 | 52.80 | | Qwen-7B | - | 2.2T | 54.29 (56.70) | 56.03 (58.80) | 52.47 | 56.42 | 59.60 | | Llama-2-7B | - | 2.0T | 44.47 (45.30) | 32.97 (-) | 32.60 | 25.46 | - | | Linly-AI/Chinese-LLaMA-2-7B-hf | Llama-2-7B | 1.0T | 37.43 | 29.92 | 32.00 | 27.57 | - | | wenge-research/yayi-7b-llama2 | Llama-2-7B | - | 38.56 | 31.52 | 30.99 | 25.95 | - | | ziqingyang/chinese-llama-2-7b | Llama-2-7B | - | 33.86 | 34.69 | 34.52 | 25.18 | 34.2 | | TigerResearch/tigerbot-7b-base | Llama-2-7B | 0.3T | 43.73 | 42.04 | 37.64 | 30.61 | - | | LinkSoul/Chinese-Llama-2-7b | Llama-2-7B | - | 48.41 | 38.31 | 38.45 | 27.72 | - | | FlagAlpha/Atom-7B | Llama-2-7B | 0.1T | 49.96 | 41.10 | 39.83 | 33.00 | - | | IDEA-CCNL/Ziya-LLaMA-13B-v1.1 | Llama-13B | 0.11T | 50.25 | 40.99 | 40.04 | 30.54 | - | | **Colossal-LLaMA-2-7b-base** | Llama-2-7B | **0.0085T** | 53.06 | 49.89 | 51.48 | 58.82 | 50.2 | | **Colossal-LLaMA-2-13b-base** | Llama-2-13B | **0.025T** | 56.42 | 61.80 | 54.69 | 69.53 | 60.3 |

Model
Backbone
Tokens Consumed
MMLU (5-shot)
CMMLU (5-shot)
AGIEval (5-shot)
GAOKAO (0-shot)
CEval (5-shot)


Baichuan-7B
-
1.2T
42.32 (42.30)
44.53 (44.02)
38.72
36.74
42.80

Baichuan-13B-Base
-
1.4T
50.51 (51.60)
55.73 (55.30)
47.20
51.41
53.60

Baichuan2-7B-Base
-
2.6T
46.97 (54.16)
57.67 (57.07)
45.76
52.60
54.00

Baichuan2-13B-Base
-
2.6T
54.84 (59.17)
62.62 (61.97)
52.08
58.25
58.10

ChatGLM-6B
-
1.0T
39.67 (40.63)
41.17 (-)
40.10
36.53
38.90

ChatGLM2-6B
-
1.4T
44.74 (45.46)
49.40 (-)
46.36
45.49
51.70

InternLM-7B
-
1.6T
46.70 (51.00)
52.00 (-)
44.77
61.64
52.80

Qwen-7B
-
2.2T
54.29 (56.70)
56.03 (58.80)
52.47
56.42
59.60

Llama-2-7B
-
2.0T
44.47 (45.30)
32.97 (-)
32.60
25.46
-

Linly-AI/Chinese-LLaMA-2-7B-hf
Llama-2-7B
1.0T
37.43
29.92
32.00
27.57
-

wenge-research/yayi-7b-llama2
Llama-2-7B
-
38.56
31.52
30.99
25.95
-

ziqingyang/chinese-llama-2-7b
Llama-2-7B
-
33.86
34.69
34.52
25.18
34.2

TigerResearch/tigerbot-7b-base
Llama-2-7B
0.3T
43.73
42.04
37.64
30.61
-

LinkSoul/Chinese-Llama-2-7b
Llama-2-7B
-
48.41
38.31
38.45
27.72
-

FlagAlpha/Atom-7B
Llama-2-7B
0.1T
49.96
41.10
39.83
33.00
-

IDEA-CCNL/Ziya-LLaMA-13B-v1.1
Llama-13B
0.11T
50.25
40.99
40.04
30.54
-

Colossal-LLaMA-2-7b-base
Llama-2-7B
0.0085T
53.06
49.89
51.48
58.82
50.2

Colossal-LLaMA-2-13b-base
Llama-2-13B
0.025T
56.42
61.80
54.69
69.53
60.3

Model	Backbone	Tokens Consumed	MMLU (5-shot)	CMMLU (5-shot)	AGIEval (5-shot)	GAOKAO (0-shot)	CEval (5-shot)
Baichuan-7B	-	1.2T	42.32 (42.30)	44.53 (44.02)	38.72	36.74	42.80
Baichuan-13B-Base	-	1.4T	50.51 (51.60)	55.73 (55.30)	47.20	51.41	53.60
Baichuan2-7B-Base	-	2.6T	46.97 (54.16)	57.67 (57.07)	45.76	52.60	54.00
Baichuan2-13B-Base	-	2.6T	54.84 (59.17)	62.62 (61.97)	52.08	58.25	58.10
ChatGLM-6B	-	1.0T	39.67 (40.63)	41.17 (-)	40.10	36.53	38.90
ChatGLM2-6B	-	1.4T	44.74 (45.46)	49.40 (-)	46.36	45.49	51.70
InternLM-7B	-	1.6T	46.70 (51.00)	52.00 (-)	44.77	61.64	52.80
Qwen-7B	-	2.2T	54.29 (56.70)	56.03 (58.80)	52.47	56.42	59.60
Llama-2-7B	-	2.0T	44.47 (45.30)	32.97 (-)	32.60	25.46	-
Linly-AI/Chinese-LLaMA-2-7B-hf	Llama-2-7B	1.0T	37.43	29.92	32.00	27.57	-
wenge-research/yayi-7b-llama2	Llama-2-7B	-	38.56	31.52	30.99	25.95	-
ziqingyang/chinese-llama-2-7b	Llama-2-7B	-	33.86	34.69	34.52	25.18	34.2
TigerResearch/tigerbot-7b-base	Llama-2-7B	0.3T	43.73	42.04	37.64	30.61	-
LinkSoul/Chinese-Llama-2-7b	Llama-2-7B	-	48.41	38.31	38.45	27.72	-
FlagAlpha/Atom-7B	Llama-2-7B	0.1T	49.96	41.10	39.83	33.00	-
IDEA-CCNL/Ziya-LLaMA-13B-v1.1	Llama-13B	0.11T	50.25	40.99	40.04	30.54	-
Colossal-LLaMA-2-7b-base	Llama-2-7B	0.0085T	53.06	49.89	51.48	58.82	50.2
Colossal-LLaMA-2-13b-base	Llama-2-13B	0.025T	56.42	61.80	54.69	69.53	60.3