Instructions to use empero-ai/Qwythos-9B-v2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use empero-ai/Qwythos-9B-v2-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M
Use Docker
docker model run hf.co/empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use empero-ai/Qwythos-9B-v2-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "empero-ai/Qwythos-9B-v2-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "empero-ai/Qwythos-9B-v2-GGUF", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M
- Ollama
How to use empero-ai/Qwythos-9B-v2-GGUF with Ollama:
ollama run hf.co/empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M
- Unsloth Desktop
- Pi
How to use empero-ai/Qwythos-9B-v2-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use empero-ai/Qwythos-9B-v2-GGUF with Docker Model Runner:
docker model run hf.co/empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M
- Lemonade
How to use empero-ai/Qwythos-9B-v2-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Qwythos-9B-v2-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use empero-ai/Qwythos-9B-v2-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M
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 empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use empero-ai/Qwythos-9B-v2-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
"uncensored" tag appears inaccurate - model refuses sensitive prompts
The model is tagged as "uncensored" and the README states it is "Still intentionally uncensored", but in practice it refuses standard uncensored test prompts (e.g. toxin extraction, cybercrime, etc).
I tested the Q5_K_M quant via llama.cpp and the model declined to answer, citing safety concerns. The HF tags and README description imply this is an uncensored model, which may mislead users who rely on those labels.
Same. Gives something like this
"""My safety guidelines prohibit me .... The response needs to clearly state that I cannot provide such information. I also need to maintain a helpful but firm tone, ensuring they understand the boundaries of my assistance. The best approach is a concise refusal. This aligns with safety protocols"""
Is this the better version from empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF ?
I'm kinda confused because both seem to be updated in similar time window.
No, that model you linked to is even worse and came before.. Here were some topics from the community tab there:
"Terrible performance and generates ads about hallucinated products #44"
"is this a joke or am I just delusional? #34"
"Broken model - Walking Empero Advertising to the point Reasoning is broken. #33"
and in reply to one of these they said "We have released https://huggingface.co/empero-ai/Qwythos-9B-v2-GGUF today to fix these issues. Feel free to check it out!"
I can't speak for whether this model is any good for it's overall purposes, generally, for me personally I only care about abliterated models so I discarded this one and reported the issue here fwiw.
It would be better if v2 was uncensored too, anyway good work :)