Ambient distills long-video perception into a sub-2B model, topping egocentric video QA
ambient-intelligence-labs · hf · 2026-09-14
- Ambient's EgoLongQA 2026 entry achieves first-place performance on long egocentric video QA with a sub-2B vision-language model distilled from a tool-using agent.
- To fit parameter limits, the team pruned the multilingual embedding table, packing long-video perception into a compact model.
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