Qwen 3 VL (32B)
Catalogue summary: Qwen 3 VL flagship open vision model. Competes with GPT-4o on MMMU, chart-QA and document reasoning. Native video understanding up to 1 hour. Apache 2.0.
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Can Qwen 3 VL (32B) run locally?
Qwen 3 VL (32B) has a catalogue minimum of 32 GB RAM with Q4_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.
Use qwen3-vl-32b-instruct as the catalogue search term in a compatible runtime, and confirm the available format on the upstream repository before download.
Install path
Catalogue record
- Family: qwen
- Parameters: 32B
- Recommended quantization: Q4_K_M
- Catalogue minimum RAM: 32 GB
- Catalogue model size: 19 GB
- Tags: vision, chat, multimodal, power, quality
Practical limits
- Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
- Speed and memory use vary by quantization, backend, context length and system headroom.
- Verify architecture, licence and usage restrictions in the linked upstream material before deployment.
Catalogue tags
- vision
- chat
- multimodal
- power
- quality
Capability profile
Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.
Technical notes
This model fits these next steps
Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.
Related catalogue entries
Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.