[ lib ]// 97 models · 37 labs

Models.

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12 results · “vision”

qwen3-vl-8b-instruct

Qwen

Vision

Qwen3-VL 8B Instruct vision-language model with visual agent, spatial perception and OCR in 32 languages; native 256K context, expandable to 1M.

size: 8B
vram: ~7 GB
license: Apache-2.0

29% of a 24 GB card

#vision

minicpm-v-4.5

OpenBMB

Vision

8B multimodal model on Qwen3-8B and SigLIP2-400M for single-image, multi-image and high-FPS video understanding, OCR and document parsing.

size: 8B
vram: ~7 GB
license: Apache-2.0

29% of a 24 GB card

#vision

mistral-small-3.2-24b

Mistral AI

Chat

Mistral Small 3.1 update with better instruction following, fewer repetitive outputs and more robust function calling; text and image input.

size: 24B
vram: ~17 GB
license: Apache-2.0

71% of a 24 GB card

#chat #instruct #vision

llama4-scout

moondream

vikhyat

Vision

A tiny, fast vision-language model that runs almost anywhere — captioning and visual Q&A on the edge.

size: 1.8B
vram: ~3 GB
license: Apache-2.0

13% of a 24 GB card

#vision #small #captioning

qwen2.5-vl-32b-instruct

Qwen

Vision

Instruction-tuned 32B Qwen2.5-VL vision-language model for visual understanding, agentic use, long-video comprehension and structured outputs.

size: 32B
vram: ~22 GB
license: Apache-2.0

92% of a 24 GB card

#vision #large

mistral-small3.1

Mistral AI

Vision

Mistral Small 3.1 24B: fast general model with image understanding and 128K context, under Apache-2.0.

size: 24B
vram: ~16 GB
license: Apache-2.0

67% of a 24 GB card

#vision #chat #tools

gemma3

Google

Vision

Gemma 3: 1B to 27B, with image understanding from 4B up, 128K context and 140+ languages.

size: 12B
vram: ~9 GB
license: Gemma

38% of a 24 GB card

#vision #chat #multilingual

gemma3-4b

Google

Chat

Google's multimodal Gemma 3 4B instruction-tuned model: text and image input, text output, 128K context, 140+ languages.

size: 4B
vram: ~5 GB
license: Gemma

21% of a 24 GB card

#chat #instruct #vision

gemma3-27b

Google

Chat

Google's multimodal Gemma 3 27B instruction-tuned model: text and image input, text output, 128K context, 140+ languages.

size: 27B
vram: ~19 GB
license: Gemma

79% of a 24 GB card

#chat #instruct #vision

smolvlm2-2.2b-instruct

Hugging Face

Vision

Lightweight multimodal model that processes video, image and text inputs to generate text; about 5.2GB of GPU RAM for video inference.

size: 2.2B
vram: ~4 GB
license: Apache-2.0

17% of a 24 GB card

#vision #small

qwen2.5-vl

Alibaba Qwen

Vision

Qwen2.5-VL: reads documents, charts, screenshots and photos, and can point to things in an image.

size: 7B
vram: ~6 GB
license: Apache-2.0

25% of a 24 GB card

#vision #ocr #documents