147.2K Downloads Updated 7 months ago
ollama run aeline/opan
Built on Qwen3-VL · 2B Parameters · 256K Context · Vision + Text
Opan is a lightweight multimodal assistant tuned for friendly, clear, and accurate responses. Based on Qwen3-VL:2b, it combines strong visual understanding with natural conversational ability — all in a 1.9GB package you can run locally.
ollama run aeline/opan
Requires Ollama 0.12.7 or later
Vision Understanding Send images alongside your text. Opan can describe scenes, identify objects, read text from photos, interpret diagrams, and answer questions about what it sees.
OCR in 32+ Languages Extracts and interprets text from images even under difficult conditions — blurry, tilted, low-light, or densely formatted documents. Preserves structure across multi-page inputs.
Visual-to-Code Describe a UI mockup or flowchart with an image and ask Opan to generate code. Supports HTML/CSS layout generation, JavaScript from diagrams, and logic extraction from flowcharts.
Long Context — 256K Tokens Feed it full PDFs, long documents, extended conversations, or multi-image sequences. Opan maintains coherence across very long inputs.
Spatial & Layout Reasoning Understands object positions, relationships, chart structures, and UI layouts. Useful for analyzing screenshots, design files, or annotated images.
| Requirement | Value |
|---|---|
| Model size | 1.9 GB |
| Minimum RAM | 6 GB |
| Context window | 256K tokens |
| Input types | Text, Image |
| CPU-only support | Yes |
Image + Text
>>> [attach image of a receipt] What is the total amount and date on this receipt?
OCR
>>> [attach image of a handwritten note] Transcribe this text.
Visual Coding
>>> [attach UI mockup image] Convert this design into HTML and CSS.
Document Analysis
>>> [attach PDF screenshot] Summarize the key points from this page.
| Field | Value |
|---|---|
| Base model | Qwen3-VL:2b |
| Parameters | ~2 Billion |
| Quantization | Q4_K_M |
| Author | Shushank (sk16er) |
| License | Apache 2.0 (inherited from Qwen3-VL) |
Made by sk16er