Small Model Hub

3,378 efficient AI models across 7 domains · Charts · API

Domain

All (3,378)Vision (1,615)3D (771)Embedding (428)Multimodal (299)Code (125)Speech (91)Video (49)

Task

All Tasks Image Classification (1,543)3D Object Detection (771)Text Embedding (428)Vision-Language (285)Code Generation (125)Speech Recognition (91)Object Detection (65)Video Understanding (49)UI Understanding (14)Font Identification (7)

Max Size≤10M ≤50M ≤100M ≤500M All

Max VRAM≤512MB ≤1GB ≤2GB ≤4GB ≤8GB All

Score

Raw Context (0-100)

Percentile rank within each task — comparable across domains

Showing 19 models

#	Model	Domain	Task	Params ↑	GFLOPs	VRAM	Context	Speed	Arch	Source
1	CodeGen2-1B	Code	Code Generation	1.0B	—	2.3 GB	3	—	—	EvalPlus
2	StarCoderBase-1B	Code	Code Generation	1.0B	—	2.3 GB	6	—	—	EvalPlus
3	zyte-1B	Code	Code Generation	1.0B	—	2.3 GB	0	—	—	EvalPlus
4	SantaCoder-1.1B	Code	Code Generation	1.1B	—	2.6 GB	9	—	—	EvalPlus
5	DeepSeek-Coder-1.3B-base	Code	Code Generation	1.3B	—	3.0 GB	23	—	—	EvalPlus
6	DeepSeek-Coder-1.3B-instruct	Code	Code Generation	1.3B	—	3.0 GB	59	—	—	EvalPlus
7	InCoder-1.3B	Code	Code Generation	1.3B	—	3.0 GB	4	—	—	EvalPlus
8	CodeGen-2B	Code	Code Generation	2.0B	—	4.7 GB	18	—	—	EvalPlus
9	CodeT5+-2B	Code	Code Generation	2.0B	—	4.7 GB	17	—	—	EvalPlus
10	codegemma-2b	Code	Code Generation	2.0B	—	4.7 GB	15	—	—	EvalPlus
11	gemma-2b	Code	Code Generation	2.0B	—	4.7 GB	15	—	—	EvalPlus
12	gemma-2b-it	Code	Code Generation	2.0B	—	4.7 GB	10	—	—	EvalPlus
13	GPT-Neo-2.7B	Code	Code Generation	2.7B	—	6.3 GB	2	—	—	EvalPlus
14	PolyCoder-2.7B	Code	Code Generation	2.7B	—	6.3 GB	2	—	—	EvalPlus
15	phi-2-2.7B	Code	Code Generation	2.7B	—	6.3 GB	43	—	—	EvalPlus
16	CodeGen2-3B	Code	Code Generation	3.0B	—	7.0 GB	8	—	—	EvalPlus
17	StarCoder2-3B	Code	Code Generation	3.0B	—	7.0 GB	25	—	—	EvalPlus
18	StarCoderBase-3B	Code	Code Generation	3.0B	—	7.0 GB	11	—	—	EvalPlus
19	stable-code-3B	Code	Code Generation	3.0B	—	7.0 GB	22	—	—	EvalPlus