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
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README.md
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@@ -23,7 +23,7 @@ Read more about NVFP4 at NVIDIA (https://developer.nvidia.com/blog/introducing-n
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- Quantization Method: NVFP4
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- Base Model: [fdtn-ai/Foundation-Sec-8B-Instruct](https://huggingface.co/fdtn-ai/Foundation-Sec-8B-Instruct)
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- Tool: NVIDIA TensorRT Model Optimizer
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- Environment: NVIDIA Spark
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## Loading
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Refer to TensorRT-LLM or your deployment stack for loading NVFP4 artifacts.
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- Quantization Method: NVFP4
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- Base Model: [fdtn-ai/Foundation-Sec-8B-Instruct](https://huggingface.co/fdtn-ai/Foundation-Sec-8B-Instruct)
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- Tool: NVIDIA TensorRT Model Optimizer
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- Environment: NVIDIA DGX Spark | NVIDIA-SMI 580.95.05 | Driver Version: 580.95.05 | CUDA Version: 13.0 |
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## Loading
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Refer to TensorRT-LLM or your deployment stack for loading NVFP4 artifacts.
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