arcflare_
Vision32B official

qwen2.5-vl-32b-instruct

by Qwen

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

#vision#large
arcflare pull unsloth/Qwen2.5-VL-32B-Instruct-GGUF:Q4_K_M

[ 01 ] // quickstart

┌─ arcflare — zsh // tty1
$ 

[ 02 ] // readme

qwen2.5-vl-32b-instruct

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

Get it

arcflare pull unsloth/Qwen2.5-VL-32B-Instruct-GGUF:Q4_K_M
arcflare run qwen2.5-vl-32b-instruct

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

  • Downloads the Q4_K_M file by default: 19.9 GB. Also published: Q3_K_M (15.9 GB), Q5_K_M (23.3 GB), Q6_K (26.9 GB)
  • Reads images: the download also fetches the vision projector (mmproj), about 1 GB more
  • Trained for a 32K context
  • Licence: Apache-2.0. Read it before commercial use

Sizes

  • 32b · 19.9GB

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

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