Instructions to use bi0/NVIDIA_Nemotron-3.5-Rerank-8B-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use bi0/NVIDIA_Nemotron-3.5-Rerank-8B-NVFP4 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
NVIDIA_Nemotron-3.5-Rerank-8B-NVFP4
- HuggingFace Repository:
bi0/NVIDIA_Nemotron-3.5-Rerank-8B-NVFP4(PUBLIC) - Privacy & Provenance Audit:
PUBLIC (Zero Private Data β Pure Hardware NVFP4 + TensorRT 11.3 Compilation) - Upstream Base Model:
nvidia/Nemotron-3.5-Rerank-8B-BF16 - Optimization / Modification Method:
Blackwell NVFP4 (fp4_e2m1 Block-16) + TensorRT 11.3.0.99 Engine (sm_121a) - Format:
TensorRT .engine + NVFP4 Safetensors - Local DGX Spark GB10 Path:
/home/m1st/ai_workspace/models/NVIDIA_Nemotron-3.5-Rerank-8B-NVFP4/NVIDIA_Nemotron-3.5-Rerank-8B-NVFP4_sm121_GB10.engine - Size:
820.47 MB(860319940bytes) - Fingerprint (SHA-256):
da6259152c8e76c749a39f6ab2a97ae44ff5e852b313e811cd13daa773437058 - Last Modified:
2026-11-07 01:03 - Active Runtime Port:
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Model tree for bi0/NVIDIA_Nemotron-3.5-Rerank-8B-NVFP4
Base model
mistralai/Ministral-3-8B-Base-2512 Finetuned
nvidia/Nemotron-3.5-Rerank-8B-BF16