Janus-Pro 7B
DeepSeek's multimodal 7B. Decoupled visual encoding for understanding vs generation — different from typical VLM design.
Overview
DeepSeek's multimodal 7B. Decoupled visual encoding for understanding vs generation — different from typical VLM design.
Strengths
- Architecturally distinct multimodal
- Strong image-generation capabilities
Weaknesses
- Smaller community than Pixtral / Qwen-VL
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 4.2 GB | 6 GB |
Get the model
HuggingFace
Original weights
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of Janus-Pro 7B.
Models worth comparing
Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.
Frequently asked
What's the minimum VRAM to run Janus-Pro 7B?
Can I use Janus-Pro 7B commercially?
What's the context length of Janus-Pro 7B?
Does Janus-Pro 7B support images?
Source: huggingface.co/deepseek-ai/Janus-Pro-7B
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.
Related — keep moving
Verify Janus-Pro 7B runs on your specific hardware before committing money.