Open Source

UVLM v3.1.0 — Qwen3-VL Joins the Registry, With Family-Based Model Selection
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UVLM v3.1.0 — Qwen3-VL Joins the Registry, With Family-Based Model Selection

Advanced, Package, Python, Vision Language Model

UVLM v3.1.0 — Qwen3-VL Joins the Registry, With Family-Based Model Selection

UVLM v3.1.0 adds a third model family, Qwen3-VL (2B–32B Instruct), bringing the registry to 15 checkpoints. The notebooks gain a two-level family/model selector, the loader picks BF16 automatically on capable GPUs, and the smallest new model runs in about 2 GB of VRAM. Same three-block workflow, same prompts, one more family to compare.

By Joan Perez|2026-08-10T07:46:22+00:00August 10, 2026|Categories: Advanced, Package, Python, Vision Language Model|Tags: AI, Image Analysis, Open Source, Qwen, UVLM|0 Comments

Introducing UVLM: A Free Tool to Compare AI Models That Understand Images
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Introducing UVLM: A Free Tool to Compare AI Models That Understand Images

Intermediate, Python, Vision Language Model

Introducing UVLM: A Free Tool to Compare AI Models That Understand Images

UVLM is a free, open-source tool for loading, testing, and comparing Vision-Language Models on custom image analysis tasks. Running entirely in Google Colab, it lets researchers and practitioners benchmark multiple AI models using the same prompts and images — no coding, no GPU ownership, no model-specific pipelines. This post explains what VLMs are, why comparing them matters, and how to get started in five minutes.

By Joan Perez|2026-08-05T07:38:21+00:00March 17, 2026|Categories: Intermediate, Python, Vision Language Model|Tags: Benchmarking, Chain-of-Thought, Google Colab, Image Analysis, Llava, Multimodal AI, Open Source, Qwen, UVLM, VLM|0 Comments