Model Detail
Ex-Omni
—Ex-Omni is an AI model with 5.3B parameters released by tencent. It has accumulated 36 downloads on Hugging Face since publication.
Ex-Omni ships with 5.3B parameters. Total weight footprint is approximately 10.7 GB, which is the relevant figure when planning local-inference VRAM. Access is gated on Hugging Face — a manual approval step is required before weights can be downloaded.
Ex-Omni is best fit for general-purpose AI workloads. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
Ex-Omni-2D: Expressive Omni-Modal Dialogue Models with Native Visual Presence
arXiv:2608.10720v2 Announce Type: replace Abstract: Omni-modal dialogue models can understand multimodal inputs and synthesize spoken replies, but a spoken answer still leaves the agent visually absent. We introduce \textbf{Ex-Omni-2D}, a framework that answers a multimodal query with coordinated te
Ex-Omni: Enabling 3D Facial Animation Generation for Omni-modal Large Language Models
arXiv:2602.07106v3 Announce Type: replace-cross Abstract: Omni-modal large language models (OLLMs) aim to unify multimodal understanding and generation, yet extending them to jointly produce speech and 3D facial animation remains largely underexplored. A key challenge is the mismatch between the dis
