Instructions to use nvidia/llama-nemotron-embed-vl-1b-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nvidia/llama-nemotron-embed-vl-1b-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nvidia/llama-nemotron-embed-vl-1b-v2", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use nvidia/llama-nemotron-embed-vl-1b-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/llama-nemotron-embed-vl-1b-v2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
chore: update license to OpenMDW-1.1
Browse filesUpdates the model, configuration, and NVIDIA source-code licensing to OpenMDW-1.1, following [llama-nemotron-rerank-1b-v2 PR #16](https://huggingface.co/nvidia/llama-nemotron-rerank-1b-v2/discussions/16).
Replaces `LICENSE` with the reference license text, updates model-card metadata and license references, and updates NVIDIA source-file SPDX identifiers. Adds the same `CONTRIBUTING.md` as the reference PR. Preserves existing copyright notices, Llama attribution, and third-party notices.
Validation: checked all changed files, verified the license matches the reference byte-for-byte, and confirmed Python ASTs are unchanged.
Signed-off-by: Oliver Holworthy <1216955+oliverholworthy@users.noreply.github.com>
- CONTRIBUTING.md +65 -0
- LICENSE +51 -241
- README.md +7 -6
- configuration_llama_nemotron_vl.py +1 -1
- modeling_llama_nemotron_vl.py +1 -1
- processing_llama_nemotron_vl.py +1 -1
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All binary model files and source code files are licensed under the OpenMDW-1.1 License.
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------------
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Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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OpenMDW License Agreement, version 1.1 (OpenMDW-1.1)
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By exercising rights granted to you under this agreement, you accept and agree
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to its terms.
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As used in this agreement, "Model Materials" means the materials provided to
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you under this agreement, consisting of: (1) one or more machine learning
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models (including architecture and parameters); and (2) all related artifacts
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(including associated data, documentation and software) that are provided to
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you hereunder.
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Subject to your compliance with this agreement, permission is hereby granted,
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free of charge, to deal in the Model Materials without restriction, including
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under all copyright, patent, database, and trade secret rights included or
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embodied therein.
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If you distribute any portion of the Model Materials, you shall retain in your
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distribution (1) a copy of this agreement, and (2) all copyright notices and
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other notices of origin included in the Model Materials that are applicable to
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your distribution.
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If you file, maintain, or voluntarily participate in a lawsuit against any
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person or entity asserting that the Model Materials directly or indirectly
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infringe any patent or copyright, then all rights and grants made to you
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hereunder are terminated, unless that lawsuit was in response to a
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corresponding lawsuit first brought against you.
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This agreement does not impose any restrictions or obligations with respect to
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any use, modification, or sharing of any outputs generated by using the Model
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Materials.
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THE MODEL MATERIALS ARE PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
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OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE, TITLE, NONINFRINGEMENT, ACCURACY, OR THE
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ABSENCE OF LATENT OR OTHER DEFECTS OR ERRORS, WHETHER OR NOT DISCOVERABLE, ALL
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TO THE GREATEST EXTENT PERMISSIBLE UNDER APPLICABLE LAW.
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YOU ARE SOLELY RESPONSIBLE FOR (1) CLEARING RIGHTS OF OTHER PERSONS THAT MAY
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APPLY TO THE MODEL MATERIALS OR ANY USE THEREOF, INCLUDING WITHOUT LIMITATION
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ANY PERSON'S COPYRIGHTS OR OTHER RIGHTS INCLUDED OR EMBODIED IN THE MODEL
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MATERIALS; (2) OBTAINING ANY NECESSARY CONSENTS, PERMISSIONS OR OTHER RIGHTS
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REQUIRED FOR ANY USE OF THE MODEL MATERIALS; OR (3) PERFORMING ANY DUE
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DILIGENCE OR UNDERTAKING ANY OTHER INVESTIGATIONS INTO THE MODEL MATERIALS OR
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ANYTHING INCORPORATED OR EMBODIED THEREIN.
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IN NO EVENT SHALL THE PROVIDERS OF THE MODEL MATERIALS BE LIABLE FOR ANY CLAIM,
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DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
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OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE MODEL MATERIALS, THE
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USE THEREOF OR OTHER DEALINGS THEREIN.
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@@ -1,8 +1,8 @@
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---
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license: other
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-
license_name:
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license_link: >-
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-
https://
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tags:
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- sentence-transformers
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- retrieval
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@@ -33,8 +33,9 @@ This model is ready for commercial use.
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### License/Terms of use
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-
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-
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### Deployment Geography:
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@@ -605,7 +606,7 @@ Please report model quality, risk, security vulnerabilities or NVIDIA AI Concern
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| Verified to have met prescribed NVIDIA quality standards: | Yes |
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| Performance Metrics: | Accuracy, Throughput, and Latency. |
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| Potential Known Risks: | This model does not guarantee to always retrieve the correct passage(s) for a given query. |
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-
| Licensing & Terms of Use: | The use of this model is governed by the [
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# Privacy
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@@ -625,5 +626,5 @@ Please report model quality, risk, security vulnerabilities or NVIDIA AI Concern
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| ----- | ----- |
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| Model Application(s): | Document Embedding for Retrieval. User queries can be text and documents can be text, document page images, charts, tables, and infographics. |
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| Describe the life critical impact (if present) | Not applicable |
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-
| Use Case Restrictions: | The use of this model is governed by the [
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| Model and dataset restrictions: | The Principle of least privilege (PoLP) is applied limiting access for dataset generation and model development. Restrictions enforce dataset access during training, and dataset license constraints adhered to. |
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---
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license: other
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license_name: openmdw-1.1
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license_link: >-
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https://openmdw.ai/license/1-1/
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tags:
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- sentence-transformers
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- retrieval
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### License/Terms of use
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This model and its associated configuration files are licensed under the [OpenMDW License Agreement, version 1.1 (OpenMDW-1.1)](https://openmdw.ai/license/1-1/). Additional Information: [Llama 3.2 Community Model License Agreement](https://www.llama.com/llama3_2/license/). Built with Llama.
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This project will download and install additional third-party open source software projects. Review the license terms of these open source projects before use.
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### Deployment Geography:
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| Verified to have met prescribed NVIDIA quality standards: | Yes |
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| Performance Metrics: | Accuracy, Throughput, and Latency. |
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| Potential Known Risks: | This model does not guarantee to always retrieve the correct passage(s) for a given query. |
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| Licensing & Terms of Use: | The use of this model is governed by the [OpenMDW-1.1](https://openmdw.ai/license/1-1/). Additional Information: [Llama 3.2 Community Model License Agreement](https://www.llama.com/llama3_2/license/). Built with Llama. |
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# Privacy
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| ----- | ----- |
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| Model Application(s): | Document Embedding for Retrieval. User queries can be text and documents can be text, document page images, charts, tables, and infographics. |
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| Describe the life critical impact (if present) | Not applicable |
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| Use Case Restrictions: | The use of this model is governed by the [OpenMDW-1.1](https://openmdw.ai/license/1-1/). Additional Information: [Llama 3.2 Community Model License Agreement](https://www.llama.com/llama3_2/license/). Built with Llama. |
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| Model and dataset restrictions: | The Principle of least privilege (PoLP) is applied limiting access for dataset generation and model development. Restrictions enforce dataset access during training, and dataset license constraints adhered to. |
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@@ -1,5 +1,5 @@
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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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-
# SPDX-License-Identifier:
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from typing import Optional
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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: openmdw-1.1
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from typing import Optional
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@@ -1,5 +1,5 @@
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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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-
# SPDX-License-Identifier:
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import inspect
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import math
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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: openmdw-1.1
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import inspect
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import math
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@@ -1,5 +1,5 @@
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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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-
# SPDX-License-Identifier:
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import base64
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import os
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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: openmdw-1.1
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import base64
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import os
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