🚀 探索Gemma 2:谷歌开源大模型新突破!-gemma2
摘要
谷歌Gemma 2模型以其卓越的性能和效率,在自然语言处理领域树立了新标杆。这款开源大模型在多种应用场景中展现出广泛的潜力,从文本生成到知识探索,无不彰显其强大的功能。

内容
谷歌Gemma 2模型,以其2B、9B、27B参数的三种尺寸,引领了开源模型的新潮流!🌟 27B参数的Gemma 2在基准测试中超越了比它大两倍的模型,效率惊人。🎯 它不仅在内容创作和沟通领域大放异彩,如文本生成、聊天机器人和文本摘要,还在研究和教育领域发挥着重要作用,如NLP研究、语言学习工具和知识探索。📚 通过LangChain和LlamaIndex工具,Gemma 2的应用变得更加便捷。🔧
Run the model locally
Id
8ccf136fdd52
ff02c3702f32
53261bc9c192
4a8f851205c5
76893265b678
b4373ced0518
6a5f9669ec46
69280a4e9328
53261bc9c192
00571b7df00d
cfd95e5696e9
04e31e399ce4
9a3c9159e872
2945f01919f8
fc62fd7d70c9
44414d6eeb99
42dd7dda6a9b
dab5dca674db
f2bf7cf9592e
b155db00c442
141000b954c5
a0339d8fbaca
5005188f3c9f
7fc57426afcc
e478a638db41
1cab10d40d57
3943c447b4cb
b14cd86ea97e
43e7a8f2c64b
bd157e89aea0
3cdf7604434b
c0d8f9013cd0
0f062e1aad57
ca5f76641a2a
470392386d3f
3f4d7eff5631
c9f6dc0ebba9
23e3c31b0102
8ccf136fdd52
147febd40666
cb2d06dce813
832970b742f1
33c77c94b6d9
3d4744db4971
44b731fe20db
6ced300e723a
6c5eedbb9189
9d27a8c2325c
230266e59979
dc8ae2e5288f
3bb5d7d90c92
d1fbc3646636
79e51c86c582
3e796d92bb34
47a5df96d4e0
c104b2dcf9cd
d86f9248222e
5584a807b8ba
6fb41a6313fd
d298863d20ab
a3cd2a717100
3b637a49f20f
302f408c0774
28e6684b0850
592e44efb2df
d714823ae8ef
7461deaf5540
1c8775e10b1c
ff02c3702f32
5bfc4cf059e2
c20bec88025f
3d812e007d80
ad7303695a24
11404375df45
272e1f3a41a6
6995ad07422a
3827bab50424
54faa8324fdf
71ccbb94da28
81108b242383
5cb6a0b99634
e224c0ba8c7c
021fbe1dc58b
dedd536d2868
39d615163f3c
f4da9dd04c19
89a237d62c43
3d1c595d93ad
2c8271d50a2c
cb5cdf64cd6a
d569833b0000
eecb7df81861
e09381422c99
Model
2b
9b
27b
27b-instruct-fp16
27b-instruct-q2_K
27b-instruct-q3_K_L
27b-instruct-q3_K_M
27b-instruct-q3_K_S
27b-instruct-q4_0
27b-instruct-q4_1
27b-instruct-q4_K_M
27b-instruct-q4_K_S
27b-instruct-q5_0
27b-instruct-q5_1
27b-instruct-q5_K_M
27b-instruct-q5_K_S
27b-instruct-q6_K
27b-instruct-q8_0
27b-text-fp16
27b-text-q2_K
27b-text-q3_K_L
27b-text-q3_K_M
27b-text-q3_K_S
27b-text-q4_0
27b-text-q4_1
27b-text-q4_K_M
27b-text-q4_K_S
27b-text-q5_0
27b-text-q5_1
27b-text-q5_K_M
27b-text-q5_K_S
27b-text-q6_K
27b-text-q8_0
2b-instruct-fp16
2b-instruct-q2_K
2b-instruct-q3_K_L
2b-instruct-q3_K_M
2b-instruct-q3_K_S
2b-instruct-q4_0
2b-instruct-q4_1
2b-instruct-q4_K_M
2b-instruct-q4_K_S
2b-instruct-q5_0
2b-instruct-q5_1
2b-instruct-q5_K_M
2b-instruct-q5_K_S
2b-instruct-q6_K
2b-instruct-q8_0
2b-text-fp16
2b-text-q2_K
2b-text-q3_K_L
2b-text-q3_K_M
2b-text-q3_K_S
2b-text-q4_0
2b-text-q4_1
2b-text-q4_K_M
2b-text-q4_K_S
2b-text-q5_0
2b-text-q5_1
2b-text-q5_K_M
2b-text-q5_K_S
2b-text-q6_K
2b-text-q8_0
9b-instruct-fp16
9b-instruct-q2_K
9b-instruct-q3_K_L
9b-instruct-q3_K_M
9b-instruct-q3_K_S
9b-instruct-q4_0
9b-instruct-q4_1
9b-instruct-q4_K_M
9b-instruct-q4_K_S
9b-instruct-q5_0
9b-instruct-q5_1
9b-instruct-q5_K_M
9b-instruct-q5_K_S
9b-instruct-q6_K
9b-instruct-q8_0
9b-text-fp16
9b-text-q2_K
9b-text-q3_K_L
9b-text-q3_K_M
9b-text-q3_K_S
9b-text-q4_0
9b-text-q4_1
9b-text-q4_K_M
9b-text-q4_K_S
9b-text-q5_0
9b-text-q5_1
9b-text-q5_K_M
9b-text-q5_K_S
9b-text-q6_K
9b-text-q8_0
Size
1.6GB
5.4GB
16GB
54GB
10GB
15GB
13GB
12GB
16GB
17GB
17GB
16GB
19GB
21GB
19GB
19GB
22GB
29GB
54GB
10GB
15GB
13GB
12GB
16GB
17GB
17GB
16GB
19GB
21GB
19GB
19GB
22GB
29GB
5.2GB
1.2GB
1.6GB
1.5GB
1.4GB
1.6GB
1.8GB
1.7GB
1.6GB
1.9GB
2.0GB
1.9GB
1.9GB
2.2GB
2.8GB
5.2GB
1.2GB
1.6GB
1.5GB
1.4GB
1.6GB
1.8GB
1.7GB
1.6GB
1.9GB
2.0GB
1.9GB
1.9GB
2.2GB
2.8GB
18GB
3.8GB
5.1GB
4.8GB
4.3GB
5.4GB
6.0GB
5.8GB
5.5GB
6.5GB
7.0GB
6.6GB
6.5GB
7.6GB
9.8GB
18GB
3.8GB
5.1GB
4.8GB
4.3GB
5.4GB
6.0GB
5.8GB
5.5GB
6.5GB
7.0GB
6.6GB
6.5GB
7.6GB
9.8GB