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
File size: 798 Bytes
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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)
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