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chore(model gallery): 🤖 add 1 new models via gallery agent (#9615)
chore(model gallery): 🤖 add new models via gallery agent Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
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- name: "nemotron-3-nano-omni-30b-a3b-reasoning-apex"
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url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
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urls:
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- https://huggingface.co/mudler/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-APEX-GGUF
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description: |
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# Model Overview
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### Description:
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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.
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This model is available for commercial use.
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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.
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### License/Terms of Use
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Governing Terms: Use of this model is governed by the NVIDIA Open Model Agreement
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### Deployment Geography:
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Global
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...
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license: "other"
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tags:
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- llm
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- gguf
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- vision
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- multimodal
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- reasoning
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overrides:
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backend: vllm-omni
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known_usecases:
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- chat
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- multimodal
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parameters:
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min_p: 0.01
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model: mudler/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-APEX-GGUF
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repeat_penalty: 1
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temperature: 1
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top_k: -1
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top_p: 1
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template:
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use_tokenizer_template: true
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files:
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null
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- name: "carnice-v2-27b"
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url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
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urls:
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