TensorRT
Safetensors
llama
quantized
nvfp4
foundation-sec-8b-instruct
cybersecurity
8-bit precision
modelopt
Instructions to use guerilla7/Foundation-Sec-8B-Instruct-NVFP4-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use guerilla7/Foundation-Sec-8B-Instruct-NVFP4-quantized with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| base_model: fdtn-ai/Foundation-Sec-8B-Instruct | |
| tags: | |
| - quantized | |
| - nvfp4 | |
| - tensorrt | |
| - foundation-sec-8b-instruct | |
| - cybersecurity | |
| # Foundation-Sec-8B-Instruct-NVFP4-quantized | |
| This repository contains an NVFP4 quantized version of the | |
| [fdtn-ai/Foundation-Sec-8B-Instruct](https://huggingface.co/fdtn-ai/Foundation-Sec-8B-Instruct) model, optimized for NVIDIA Spark using TensorRT Model Optimizer. | |
| ## Quantization Details | |
| - Quantization Method: NVFP4 | |
| - Base Model: [fdtn-ai/Foundation-Sec-8B-Instruct](https://huggingface.co/fdtn-ai/Foundation-Sec-8B-Instruct) | |
| - Tool: NVIDIA TensorRT Model Optimizer | |
| - Environment: NVIDIA Spark | |
| ## Loading | |
| Refer to TensorRT-LLM or your deployment stack for loading NVFP4 artifacts. | |
| ## License | |
| (Inherit from base model if applicable, or specify your own) | |