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nemotron-super-120b-a12b-nvfp4-count-reap-keep95 – AI Model by aimosprite | AlphaNeural AI

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aimosprite/
nemotron-super-120b-a12b-nvfp4-count-reap-keep95

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text-generation

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4

endpoints_compatible

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Nemotron Super NVFP4 Count-REAP Keep95

This repository contains a structurally pruned variant of nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4.

Pruning details

Metric: count
Keep ratio: 0.95
Routed experts kept per MoE layer: 487 / 512
Experts removed per MoE layer: 25 / 512
Usage source: merged representative imo-answerbench final count dumps (pid61 + pid63)
Materialization script: compress/reap/scripts/materialize_pruned_nemotron_model.py

Notes

This is count-based REAP, not score-based REAP.
reap_prune_plan.json records the exact per-layer expert remapping.