How to use from
Hermes Agent
Start the llama.cpp server
# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf josephmayo/Qwopus-9B-Unfettered-GGUF:
Configure Hermes
# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default josephmayo/Qwopus-9B-Unfettered-GGUF:
Run Hermes
hermes
Quick Links

🔓 Qwopus-9B-Unfettered (GGUF)

This is the GGUF-quantized version of josephmayo/Qwopus-9B-Unfettered.

**Nuclear Abliteration via Aggressive Repulsion Orthogonalization using https://github.com/HOLYKEYZ/model-unfetter **

⚠️ Disclaimer: This model is completely unaligned and has had all refusal guardrails systematically removed. It is designed exclusively for AI safety research, red teaming, and educational purposes. The creators are not responsible for any misuse. Use responsibly and in accordance with applicable laws.

📦 GGUF Downloads

File Quant Size Use Case
Qwopus-9B-Unfettered-Q4_K_M.gguf Q4_K_M ~5.6 GB best for low-ram / cpu inference (8gb+ ram)
Qwopus-9B-Unfettered-Q8_0.gguf Q8_0 ~9.5 GB balanced quality/size (16gb+ ram)
Qwopus-9B-Unfettered-F16.gguf F16 ~17.9 GB maximum quality, full precision (32gb+ ram)

Quick Start with Ollama

echo 'FROM hf.co/josephmayo/Qwopus-9B-Unfettered-GGUF:Q4_K_M' > Modelfile
ollama create qwopus-unfettered -f Modelfile
ollama run qwopus-unfettered

Quick Start with llama.cpp

./llama-cli -hf josephmayo/Qwopus-9B-Unfettered-GGUF -p "Your prompt here" -n 1024
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Model size
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