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Tencent Youtu Lab

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Headlines · 2

  1. Tencent releases 5B omni-modal parsing model Youtu-Parsing-Omni

    Tencent Youtu Lab published Youtu-Parsing-Omni on Hugging Face, a compact 5B omni-modal parsing model that turns a document page, natural image, chart or flowchart, geometry figure, audio clip or audio-visual video into a single structured JSON output, with the output family selected by a task prompt. The model card says a single omni encoder handles image, audio and interleaved audio-visual video inputs, and that a vLLM plugin, pinned serving settings, task prompts and inference examples are included. Tencent reports 96.96 Overall on OmniDocBench v1.6, 75.08 Avg. on OmniParsingBench as the best open-weight model behind Gemini-3-Pro, and competitive results against specialized models on chemical-structure and music-score recognition; all of these benchmarks are vendor-reported and were not independently verified in the supplied material.

    腾讯混元 · Hugging Face · 🔥 0
  2. Tencent open-sources EVIE-8B and EVIE-4.5B visual document retrieval models

    Tencent published EVIE-8B and EVIE-4.5B on Hugging Face, open-sourcing weights, training and distillation pipelines, the HAC token-compression algorithm and evaluation suites under Apache-2.0, with a technical report at arXiv:2610.11553. Both build on a ColQwen3.5 late-interaction multi-vector architecture: EVIE-8B produces 4096-dimensional per-token embeddings, while EVIE-4.5B uses a single 2048D projection whose Prefix-MRL width can be truncated at runtime to 64–2048 dimensions and is distilled from the 8B teacher. The model cards report 66.75 nDCG@10 on ViDoRe V3 for EVIE-8B and 66.02 for EVIE-4.5B, and say HAC compression cuts page representations from roughly 750 vectors to 32, giving about 3.81 GiB of index per million pages; however, a leaderboard table in the same cards lists the two models at 66.24 and 65.70 Mean Task, which does not match those figures.

    腾讯混元 · Hugging Face · 🔥 0

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