Update README.md

README.md

@@ -9,8 +9,10 @@ tags:
 - ModelOpt
 - DeepSeekV3.1
 - quantized
-- FP4
+- NVFP4
+- nvfp4
 ---
+
 # Model Overview
 
 ## Description:
@@ -24,10 +26,18 @@ This model is not owned or developed by NVIDIA. This model has been developed an
 ### License/Terms of Use:
 [MIT](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md)
 
+### Deployment Geography:
+Global <br>
+
+### Use Case:
+Developers looking to take off the shelf pre-quantized models for deployment in AI Agent systems, chatbots, RAG systems, and other AI-powered applications. <br>
+
+### Release Date:
+Huggingface 11/25/2025 via https://huggingface.co/nvidia/DeepSeek-V3.1-NVFP4 <br>
 
 ## Model Architecture:
 **Architecture Type:** Transformers  <br>
-**Network Architecture:** DeepSeek V3.1 <br>
+**Network Architecture:** DeepseekV3ForCausalLM <br>
 
 ## Input:
 **Input Type(s):** Text <br>
@@ -44,9 +54,12 @@ This model is not owned or developed by NVIDIA. This model has been developed an
 **Output Type(s):** Text <br>
 **Output Format:** String <br>
 **Output Parameters:** 1D (One Dimensional): Sequences <br>
+**Other Properties Related to Output:** N/A <br>
+
+Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions. <br>
 
 ## Software Integration:
-**Supported Runtime Engine(s):** <br>
+**Runtime Engine(s):** <br>
 * TensorRT-LLM <br>
 
 **Supported Hardware Microarchitecture Compatibility:** <br>
@@ -55,6 +68,8 @@ This model is not owned or developed by NVIDIA. This model has been developed an
 **Preferred Operating System(s):** <br>
 * Linux <br>
 
+The integration of foundation and fine-tuned models into AI systems requires additional testing using use-case-specific data to ensure safe and effective deployment. Following the V-model methodology, iterative testing and validation at both unit and system levels are essential to mitigate risks, meet technical and functional requirements, and ensure compliance with safety and ethical standards before deployment
+
 ## Model Version(s):
 ** The model is quantized with nvidia-modelopt **v0.39.0**  <br>
 
@@ -77,7 +92,7 @@ This model is not owned or developed by NVIDIA. This model has been developed an
 
 
 ## Inference:
-**Engine:** TensorRT-LLM <br>
+**Acceleration Engine:** TensorRT-LLM <br>
 **Test Hardware:** B200 <br>
 
 ## Post Training Quantization
@@ -178,4 +193,4 @@ The base model was trained on data that contains toxic language and societal bia
 
 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.
 
-Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
+Please report model quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://app.intigriti.com/programs/nvidia/nvidiavdp/detail).