initial version

LICENSE

@@ -0,0 +1,35 @@
+NVIDIA License
+
+1. Definitions
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+4. Disclaimer of Warranty.
+
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LLAMA3-LICENSE

@@ -0,0 +1,34 @@
+META LLAMA 3 COMMUNITY LICENSE AGREEMENT
+Meta Llama 3 Version Release Date: April 18, 2024
+
+“Agreement” means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein.
+“Documentation” means the specifications, manuals and documentation accompanying Meta Llama 3 distributed by Meta at https://llama.com/get-started/.
+“Licensee” or “you” means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf.
+“MetaLlama 3” means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at https://llama.com/llama-downloads.
+“Llama Materials” means, collectively, Meta’s proprietary Meta Llama 3 and Documentation (and any portion thereof) made available under this Agreement.
+“Meta” or “we” means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland).
+By clicking “I Accept” below or by using or distributing any portion or element of the Llama Materials, you agree to be bound by this Agreement.
+
+1. License Rights and Redistribution.
+a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Meta’s intellectual property or other rights owned by Meta embodied in the Llama Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Llama Materials.
+b. Redistribution and Use.
+i. If you distribute or make available the Llama Materials (or any derivative works thereof), or a product or service that uses any of them, including another AI model, you shall (A) provide a copy of this Agreement with any such Llama Materials; and (B) prominently display “Built with Meta Llama 3” on a related website, user interface, blogpost, about page, or product documentation. If you use the Llama Materials to create, train, fine tune, or otherwise improve an AI model, which is distributed or made available, you shall also include “Llama 3” at the beginning of any such AI model name.
+
+ii. If you receive Llama Materials, or any derivative works thereof, from a Licensee as part of an integrated end user product, then Section 2 of this Agreement will not apply to you.
+
+iii. You must retain in all copies of the Llama Materials that you distribute the following attribution notice within a “Notice” text file distributed as a part of such copies: “Meta Llama 3 is licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.”
+
+iv. Your use of the Llama Materials must comply with applicable laws and regulations (including trade compliance laws and regulations) and adhere to the Acceptable Use Policy for the Llama Materials (available at https://llama.com/llama3/use-policy), which is hereby incorporated by reference into this Agreement.
+v. You will not use the Llama Materials or any output or results of the Llama Materials to improve any other large language model (excluding Meta Llama 3 or derivative works thereof).
+
+2. Additional Commercial Terms. If, on the Meta Llama 3 version release date, the monthly active users of the products or services made available by or for Licensee, or Licensee’s affiliates, is greater than 700 million monthly active users in the preceding calendar month, you must request a license from Meta, which Meta may grant to you in its sole discretion, and you are not authorized to exercise any of the rights under this Agreement unless or until Meta otherwise expressly grants you such rights.
+3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.
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+5. Intellectual Property.
+a. No trademark licenses are granted under this Agreement, and in connection with the Llama Materials, neither Meta nor Licensee may use any name or mark owned by or associated with the other or any of its affiliates, except as required for reasonable and customary use in describing and redistributing the Llama Materials or as set forth in this Section 5(a). Meta hereby grants you a license to use “Llama 3” (the “Mark”) solely as required to comply with the last sentence of Section 1.b.i. You will comply with Meta’s brand guidelines (currently accessible at https://about.meta.com/brand/resources/meta/company-brand/). All goodwill arising out of your use of the Mark will inure to the benefit of Meta.
+b. Subject to Meta’s ownership of Llama Materials and derivatives made by or for Meta, with respect to any derivative works and modifications of the Llama Materials that are made by you, as between you and Meta, you are and will be the owner of such derivative works and modifications.
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README.md

@@ -3,3 +3,44 @@ license: other
 license_name: nvidia-oneway-noncommercial-license
 license_link: LICENSE
 ---
+
+# Llama3-VILA-M3-13B
+
+> Built with Meta Llama 3
+
+## Model Overview
+
+## Description:
+M3 is a medical visual language model that empowers medical imaging professionals, researchers, and healthcare enterprises by enhancing medical imaging workflows across various modalities. 
+
+Key features include:
+- Integration with expert models from the MONAI Model Zoo
+- Support for multiple imaging modalities
+
+For more details, see our [repo](https://github.com/Project-MONAI/VLM)
+
+### Core Capabilities
+M3 NIM provides a comprehensive suite of 2D medical image analysis tools, including:
+1. Segmentation
+2. Classification
+3. Visual Question Answering (VQA)
+4. Report/Findings Generation
+
+These capabilities are applicable across various medical imaging modalities, leveraging expert models from the MONAI Model Zoo to ensure high-quality results.
+
+## Model Architecture: 
+**Architecture Type:** Auto-Regressive Vision Language Model
+**Network Architecture:** [VILA](https://github.com/NVlabs/VILA) with Llama
+
+## Input: 
+**Input Type(s):** Text and Image
+**Input Format(s):** Text: String, Image
+**Input Parameters:** Text: 1D, Image: 2D 
+
+## Output: 
+**Output Type(s):** Text and Image 
+**Output Format:** Text: String and Image
+**Output Parameters:** Text: 1D, Image: 2D/3D 
+
+## Ethical Considerations
+NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications.  When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.

config.json

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+{
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+  "architectures": [
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+  ],
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+  "fps": 0.0,
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+  "image_aspect_ratio": "resize",
+  "interpolate_mode": "linear",
+  "llm_cfg": {
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+    "add_cross_attention": false,
+    "architectures": [
+      "LlamaForCausalLM"
+    ],
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+    "attention_dropout": 0.0,
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+    "encoder_no_repeat_ngram_size": 0,
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+    "exponential_decay_length_penalty": null,
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+    "hidden_act": "silu",
+    "hidden_size": 5120,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
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+    "initializer_range": 0.02,
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+    "is_decoder": false,
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+    "num_beam_groups": 1,
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+    "vocab_size": 32000
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+  "mm_hidden_size": 1152,
+  "mm_projector_cfg": {
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+  "mm_use_im_patch_token": false,
+  "mm_use_im_start_end": false,
+  "mm_vision_select_feature": "cls_patch",
+  "mm_vision_select_layer": -2,
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+  "model_type": "llava_llama",
+  "num_video_frames": 8,
+  "resume_path": "/data_out/models/checkpoints/vn_balanced_4node_13b_e2_oct_15_2024",
+  "s2": false,
+  "s2_max_split_size": 336,
+  "s2_scales": "336,672,1008",
+  "transformers_version": "4.37.2",
+  "tune_language_model": true,
+  "tune_mm_projector": true,
+  "tune_vision_tower": true,
+  "vision_resolution": -1,
+  "vision_tower_cfg": {
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+    "add_cross_attention": false,
+    "architectures": [
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+    ],
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+    "hidden_size": 1152,
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+      "1": "LABEL_1"
+    },
+    "image_size": 384,
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+    "typical_p": 1.0,
+    "use_bfloat16": false
+  }
+}

llm/config.json

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+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

llm/generation_config.json

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