 | https://huggingface.co/ggml-org/NVIDIA-Nemotron-3-Nano-Omni NVIDIA Nemotron 3 Nano Omni is a multimodal large language model that unifies video, audio, image, and text understanding to support enterprise-grade Q&A, summarization, transcription, and document intelligence workflows. It extends the Nemotron Nano family with integrated video+speech comprehension, Graphical User Interface (GUI), Optical Character Recognition (OCR), and speech transcription capabilities, enabling end-to-end processing of rich enterprise content such as meeting recordings, M&E assets, training videos, and complex business documents. NVIDIA Nemotron 3 Nano Omni was developed by NVIDIA as part of the Nemotron model family. This model is available for commercial use. This model was improved using Qwen3-VL-30B-A3B-Instruct, Qwen3.5-122B-A10B, Qwen3.5-397B-A17B, Qwen2.5-VL-72B-Instruct, and gpt-oss-120b. For more information, please see the Training Dataset section below. [link] [comments] |
convert : add support for Nemotron Nano 3 Omni by danbev · Pull Request #22481 · ggml-org/llama.cpp
Reddit r/LocalLLaMA / 4/29/2026
📰 NewsDeveloper Stack & InfrastructureTools & Practical UsageModels & Research
Key Points
- The ggml-org/llama.cpp repository has a pull request that adds conversion support for NVIDIA’s multimodal model “Nemotron 3 Nano Omni.”
- Nemotron 3 Nano Omni is designed to unify understanding of video, audio, images, and text for enterprise workflows such as Q&A, summarization, transcription, and document intelligence.
- The model includes capabilities such as integrated video-plus-speech comprehension, a GUI, OCR, and speech transcription for end-to-end processing of rich content (e.g., meetings and training videos, business documents).
- The post notes that Nemotron 3 Nano Omni is available for commercial use and that improvements involved training using several Qwen and GPT-Oss models.
- The change primarily affects practitioners using llama.cpp locally (e.g., to run or deploy the model), by enabling easier model conversion and usage in that ecosystem.
Related Articles
Black Hat USA
AI Business
How are LLMs 'corrected' when users identify them spreading misinformation or saying something harmful?
Reddit r/artificial
The Landing: Portable Payload for AI Systems
Reddit r/artificial
I Made a CLI That Yells at Your Code Until It Gets an A
Dev.to
BizNode Pro: run up to 5 independent Telegram bots, each with its own identity, knowledge base, and AI persona
Dev.to
