arcflare_
Vision12B official

gemma3

by Google

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

#vision#chat#multilingual#long-context
arcflare pull unsloth/gemma-3-12b-it-GGUF:Q4_K_M

[ 01 ] // quickstart

┌─ arcflare — zsh // tty1
$ 

[ 02 ] // readme

gemma3

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

Get it

arcflare pull unsloth/gemma-3-12b-it-GGUF:Q4_K_M
arcflare run gemma-3-12b-it

ArcFlare reads the GGUF header and loads it at the largest context your free VRAM can actually hold. Use arcflare fit to see that before downloading anything else, or arcflare use opencode to code with it.

Highlights

  • Reads images: ArcFlare picks up the mmproj file next to the weights
  • 128K context (32K on 1B)
  • 27B is one of the strongest models that fits on a single 24 GB card

Sizes

  • 1b · 0.8GB
  • 4b · 3.3GB
  • 12b · 8.1GB
  • 27b · 17GB

Other sizes live in sibling repos: swap the size in the repo name when pulling.

[ 03 ] // relatedmore →

mistral-small3.1

Mistral AI

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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

llama4-scout

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Llama 4 Scout: a natively multimodal 109B MoE (17B active, 16 experts) with an extremely long context window.

size
109B-A17B
vram
~64 GB
license
Llama 4 Community

2.7× a 24 GB card

#vision #moe #long-context

qwen2.5-vl

Alibaba Qwen

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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