开源

🚀探索AI新领域:Hugging Face SmolLM模型全解析🌟

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ollama/smollm

Local deployment of the model
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摘要

Hugging Face的SmolLM系列模型以其开源、高效和多功能性在AI领域脱颖而出,满足从自然语言处理到多模态应用的广泛需求。

项目图片

内容

🌐 你是否在寻找一款既高效又多功能的开源语言模型?Hugging Face的SmolLM系列模型,以其135M、360M和1.7B参数的不同版本,满足了各种计算需求。🔍 这些模型不仅开源,而且性能出色,能在多种任务中展现其能力。🏅 SmolLM在IFEval基准测试中与其他领先模型相比,展现出与其规模相称的平衡性能。🌟 此外,SmolVLM的推出,展示了SmolLM处理多模态任务的能力,使用户能够基于视觉输入生成和处理文本。👨‍💻 用户期待SmolLM的高效率、多功能性和社区支持,而SmolLM正符合这些期待。📈 随着AI生态的不断发展,SmolLM有望继续成为开源语言建模的关键角色。

Run the model locally

Id

b0b2a4617438

b3ba1ccba2b8

95f6557a0f0f

64f31ee84d1c

b013da007877

9656463272fe

9acc25818892

596523cb1def

97f3f0aef2df

0c1bb3471f92

8dec12ffec4a

9b3d36b6e0c2

7eddfb294e53

fde4c91abcce

7daaf6f561d8

4f0e5ec42d5b

9cf3be2645b6

d1f91cd676ad

b07e591ca9ba

da8ba92e42b1

88ef3062260e

728c1f932b06

c35438da7180

95f6557a0f0f

77d7238b232e

dd7299829a14

35eec1a7014d

8391060f29db

ce91dd1d7380

91d16f72a7b3

489a893ac8a7

ecdf9864899c

4afeb8de9eec

1d0f00cec918

e2048e8ac78d

c2e22813067a

a5ab45ae2e2e

102433ffd9fb

528415e872e5

edecca7cff90

3177ecf5d3b5

2aa760d22716

825973a56945

065d585f86d9

34545da0aa92

4aef8aaa4469

b11338fff65a

fcdc33f9909d

95d01a081beb

e14a680b0b22

aede666c7e16

f5db1ab329b1

3ae895b5e9ea

b0b2a4617438

bbf7e14150a9

7eedbf45baa1

45013939c7c9

33187e134422

51f73e9aa3f5

a8975f4dc03b

52d3fabb63ee

dd1e60cf54df

6fbf8e918862

417c81308b94

e5e1a58c7d0c

d13db1d8af29

66875ceb33a7

8aba991b34bf

32ed02cfe24e

74c8ae01b04d

d3b4961678c3

81b950fac810

319a822c1baa

1c350d9f5c43

bf2e3336142d

05dad743d112

6006320b3839

dd417453fb49

d0475be06ee3

1dfe94149c4d

6f711219bd5f

4ecfcbc87975

359f743b44a1

b3ba1ccba2b8

4a28c336aedd

535cb302b6b9

467e6683fe66

922f6b925c58

a09f3a169083

0ad0a334e14f

8695c1a78c18

2102f951424a

f5ef53463545

Model

135m

360m

1.7b

1.7b-base-v0.2-fp16

1.7b-base-v0.2-q2_K

1.7b-base-v0.2-q3_K_L

1.7b-base-v0.2-q3_K_M

1.7b-base-v0.2-q3_K_S

1.7b-base-v0.2-q4_0

1.7b-base-v0.2-q4_1

1.7b-base-v0.2-q4_K_M

1.7b-base-v0.2-q4_K_S

1.7b-base-v0.2-q5_0

1.7b-base-v0.2-q5_1

1.7b-base-v0.2-q5_K_M

1.7b-base-v0.2-q5_K_S

1.7b-base-v0.2-q6_K

1.7b-base-v0.2-q8_0

1.7b-instruct-v0.2-fp16

1.7b-instruct-v0.2-q2_K

1.7b-instruct-v0.2-q3_K_L

1.7b-instruct-v0.2-q3_K_M

1.7b-instruct-v0.2-q3_K_S

1.7b-instruct-v0.2-q4_0

1.7b-instruct-v0.2-q4_1

1.7b-instruct-v0.2-q4_K_M

1.7b-instruct-v0.2-q4_K_S

1.7b-instruct-v0.2-q5_0

1.7b-instruct-v0.2-q5_1

1.7b-instruct-v0.2-q5_K_M

1.7b-instruct-v0.2-q5_K_S

1.7b-instruct-v0.2-q6_K

1.7b-instruct-v0.2-q8_0

135m-base-v0.2-fp16

135m-base-v0.2-q2_K

135m-base-v0.2-q3_K_L

135m-base-v0.2-q3_K_M

135m-base-v0.2-q3_K_S

135m-base-v0.2-q4_0

135m-base-v0.2-q4_1

135m-base-v0.2-q4_K_M

135m-base-v0.2-q4_K_S

135m-base-v0.2-q5_0

135m-base-v0.2-q5_1

135m-base-v0.2-q5_K_M

135m-base-v0.2-q5_K_S

135m-base-v0.2-q6_K

135m-base-v0.2-q8_0

135m-instruct-v0.2-fp16

135m-instruct-v0.2-q2_K

135m-instruct-v0.2-q3_K_L

135m-instruct-v0.2-q3_K_M

135m-instruct-v0.2-q3_K_S

135m-instruct-v0.2-q4_0

135m-instruct-v0.2-q4_1

135m-instruct-v0.2-q4_K_M

135m-instruct-v0.2-q4_K_S

135m-instruct-v0.2-q5_0

135m-instruct-v0.2-q5_1

135m-instruct-v0.2-q5_K_M

135m-instruct-v0.2-q5_K_S

135m-instruct-v0.2-q6_K

135m-instruct-v0.2-q8_0

360m-base-v0.2-fp16

360m-base-v0.2-q2_K

360m-base-v0.2-q3_K_L

360m-base-v0.2-q3_K_M

360m-base-v0.2-q3_K_S

360m-base-v0.2-q4_0

360m-base-v0.2-q4_1

360m-base-v0.2-q4_K_M

360m-base-v0.2-q4_K_S

360m-base-v0.2-q5_0

360m-base-v0.2-q5_1

360m-base-v0.2-q5_K_M

360m-base-v0.2-q5_K_S

360m-base-v0.2-q6_K

360m-base-v0.2-q8_0

360m-instruct-v0.2-fp16

360m-instruct-v0.2-q2_K

360m-instruct-v0.2-q3_K_L

360m-instruct-v0.2-q3_K_M

360m-instruct-v0.2-q3_K_S

360m-instruct-v0.2-q4_0

360m-instruct-v0.2-q4_1

360m-instruct-v0.2-q4_K_M

360m-instruct-v0.2-q4_K_S

360m-instruct-v0.2-q5_0

360m-instruct-v0.2-q5_1

360m-instruct-v0.2-q5_K_M

360m-instruct-v0.2-q5_K_S

360m-instruct-v0.2-q6_K

360m-instruct-v0.2-q8_0

Size

92MB

229MB

991MB

3.4GB

675MB

933MB

860MB

777MB

991MB

1.1GB

1.1GB

999MB

1.2GB

1.3GB

1.2GB

1.2GB

1.4GB

1.8GB

3.4GB

675MB

933MB

860MB

777MB

991MB

1.1GB

1.1GB

999MB

1.2GB

1.3GB

1.2GB

1.2GB

1.4GB

1.8GB

271MB

88MB

98MB

94MB

88MB

92MB

98MB

105MB

102MB

105MB

112MB

112MB

110MB

138MB

145MB

271MB

88MB

98MB

94MB

88MB

92MB

98MB

105MB

102MB

105MB

112MB

112MB

110MB

138MB

145MB

726MB

219MB

246MB

235MB

219MB

229MB

249MB

271MB

260MB

268MB

288MB

290MB

283MB

367MB

386MB

726MB

219MB

246MB

235MB

219MB

229MB

249MB

271MB

260MB

268MB

288MB

290MB

283MB

367MB

386MB


关键词

自然语言处理 多模态 内容创作

分类

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