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@@ -30,7 +30,7 @@ Overview of our method. LLaMA-Mesh unifies text and 3D mesh in a uniform format
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  ### Model Developer: Base model weight is from Meta. Finetuned by Nvidia
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  ## Third-Party Community Consideration:
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- The base model, Llama 3.1, is not owned or developed by NVIDIA. NVIDIA has fine-tuned this model to meet specific application and use-case requirements. For more details about the base model, see the [Llama 3.1 Model Card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/MODEL_CARD.md).
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  ## License/Terms of Use:
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  This model, Llama-Mesh, is distributed under the following licenses:
@@ -91,11 +91,6 @@ The data is curated through converting Objaverse mesh data into text string (in
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  **Dataset License(s):** The use of the dataset as a whole is licensed under the ODC-By v1.0 license.
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- [**UltraChat**](https://github.com/thunlp/UltraChat)
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- **Data Collection Method by dataset**: Unknown
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- **Labeling Method by dataset**: Unknown
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  ## Inference:
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  **Engine**: Pytorch
 
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  ### Model Developer: Base model weight is from Meta. Finetuned by Nvidia
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  ## Third-Party Community Consideration:
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+ This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party’s requirements for this application and use case; see link to Non-NVIDIA [Llama 3.1 Model Card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/MODEL_CARD.md).
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  ## License/Terms of Use:
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  This model, Llama-Mesh, is distributed under the following licenses:
 
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  **Dataset License(s):** The use of the dataset as a whole is licensed under the ODC-By v1.0 license.
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  ## Inference:
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  **Engine**: Pytorch