Marlin-2B

Marlin-2B is a tiny 2B video vision-language model (VLM) fine-tuned for extracting structured information from videos. It produces second-precise Scene + Event captions and resolves natural-language temporal queries — the strongest open model in its weight class on dense captioning and temporal grounding benchmarks, competitive with Gemini-2.5-Flash.

Marlin-2B is a tiny 2B video vision-language model (VLM) fine-tuned for extracting structured information from videos. It produces second-precise Scene + Event captions and resolves natural-language temporal queries — the strongest open model in its weight class on dense captioning and temporal grounding benchmarks, competitive with Gemini-2.5-Flash.

• 01marlin.caption() — returns structured Scene + Events JSON with second-precise timestamps; state-of-the-art at 2B on CaReBench and DREAM-1K dense video captioning benchmarks, beating all open models in its weight class
• 02marlin.find() — resolves natural-language event queries to span-grounded (start, end) time ranges; beats Qwen2.5-VL-7B by +6.4 mIoU on TimeLens-Bench and matches Gemini-2.0-Flash at only 2B params
• 03Deployable on a single consumer GPU — vLLM and swift-deploy compatible, standard HuggingFace transformers API, Gradio demo ready; fine-tuned from Qwen3.5-2B with SimPO preference optimization