---
license: other
license_name: nvidia-open-model-license
license_link: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
tags:
  - uncensored
  - nemotron
  - mamba2
  - hybrid
language:
  - en
base_model: nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16
---

# Nemotron3-Nano-4B-Uncensored-HauhauCS-Aggressive-GenRM

> **[Join the Discord](https://discord.gg/SZ5vacTXYf)** for updates, roadmaps, projects, or just to chat.

> **This is NOT the recommended release.** This repo exists purely for A/B comparison testing. For the fully uncensored model with GenRM removed, use **[Nemotron3-Nano-4B-Uncensored-HauhauCS-Aggressive](https://huggingface.co/HauhauCS/Nemotron3-Nano-4B-Uncensored-HauhauCS-Aggressive)** instead.

## What is this?

This is an earlier abliterated build that has NVIDIA's GenRM (generative reward model) **still active**. The abliteration itself scores 0/465 refusals — same as the main release — but GenRM acts as a second layer of censorship that re-introduces refusals at generation time, skewing the effective result to roughly ~10/465.

## Why does this exist?

To let people see the difference GenRM makes. This is the first publicly available abliteration of a model with GenRM, so this comparison build is useful for research and understanding how GenRM works.

## How GenRM manifests

When GenRM intervenes, you'll see a clear **180-degree reversal between the Chain-of-Thought and the final output**. The model will reason through the request normally in its thinking block, then GenRM kicks in and the visible output contradicts what the CoT was building toward — typically with a refusal or deflection.

This doesn't happen on every prompt — only on topics where GenRM's reward signal is strong enough to override the (abliterated) base behavior.

## Downloads

| File | Quant | Size |
|------|-------|------|
| [Nemotron3-Nano-4B-Uncensored-HauhauCS-Aggressive-GenRM-IQ2_M.gguf](https://huggingface.co/HauhauCS/Nemotron3-Nano-4B-Uncensored-HauhauCS-Aggressive-GenRM/resolve/main/Nemotron3-Nano-4B-Uncensored-HauhauCS-Aggressive-GenRM-IQ2_M.gguf) | IQ2_M | 2.1 GB |

Only IQ2_M provided — this is for comparison testing, not daily use.

## Specs

- 3.97B parameters
- Hybrid Mamba2-Transformer architecture (42 layers: 21 Mamba2, 17 MLP, 4 Attention)
- 262K native context
- Thinking/reasoning mode (toggleable)
- Tool calling support
- Based on [nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16)

## Use the real release instead

**[Nemotron3-Nano-4B-Uncensored-HauhauCS-Aggressive](https://huggingface.co/HauhauCS/Nemotron3-Nano-4B-Uncensored-HauhauCS-Aggressive)** — full release with GenRM removed, multiple quant formats, 0/465 refusals.