unum-cloud/UForm

Health v2 · maintenance only

Adoption not part of the score

1254 stars · 78 forks observed · 2026-10-02

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

UForm is a compact multimodal AI library providing tiny image-text embedding models (64-768 dimensions, Matryoshka-style) and small generative chat models for image captioning and visual question answering. It ships pretrained transformers with ONNX, CoreML, and PyTorch support, deployable from servers to smartphones.

Use cases

• compute image and text embeddings for semantic search
• search images with natural language queries
• caption images automatically
• build visual question answering
• run multimodal AI on mobile devices
• embed multilingual text for cross-lingual retrieval

When to choose

• you need fast, tiny CLIP-like embeddings with multilingual support
• you want to deploy multimodal models on edge devices or smartphones
• you need quantization-friendly embeddings for vector search

When to avoid

• you need state-of-the-art accuracy over speed and size
• you require video or long-document understanding today
• you need large-scale generative LLM capabilities

Facets

library · maturity active

machine-learning nlp image-processing llm-inference rag search-engine machine-learning artificial-intelligence computer-vision deep-learning python cross-platform multimodal embeddings clip image-captioning vqa onnx matryoshka-embeddings semantic-search contrastive-learning quantization natural-language-processing search javascript swift gpu mobile

Member repositories

For agents

markdown · JSON · MCP: product_card(name="unum-cloud/UForm")