Instructions to use empero-ai/Qwythos-9B-Claude-Mythos-5-1M-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-Claude-Mythos-5-1M-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-Claude-Mythos-5-1M-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf empero-ai/Qwythos-9B-Claude-Mythos-5-1M-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-Claude-Mythos-5-1M-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf empero-ai/Qwythos-9B-Claude-Mythos-5-1M-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-Claude-Mythos-5-1M-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf empero-ai/Qwythos-9B-Claude-Mythos-5-1M-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-Claude-Mythos-5-1M-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF:Q4_K_M
Use Docker
docker model run hf.co/empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use empero-ai/Qwythos-9B-Claude-Mythos-5-1M-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-Claude-Mythos-5-1M-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-Claude-Mythos-5-1M-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-Claude-Mythos-5-1M-GGUF:Q4_K_M
- Ollama
How to use empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF with Ollama:
ollama run hf.co/empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF:Q4_K_M
- Unsloth Studio
How to use empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF to start chatting
- Pi
How to use empero-ai/Qwythos-9B-Claude-Mythos-5-1M-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-Claude-Mythos-5-1M-GGUF:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/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-Claude-Mythos-5-1M-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use empero-ai/Qwythos-9B-Claude-Mythos-5-1M-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-Claude-Mythos-5-1M-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-Claude-Mythos-5-1M-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use empero-ai/Qwythos-9B-Claude-Mythos-5-1M-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-Claude-Mythos-5-1M-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-Claude-Mythos-5-1M-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"
- Docker Model Runner
How to use empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF with Docker Model Runner:
docker model run hf.co/empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF:Q4_K_M
- Lemonade
How to use empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Qwythos-9B-Claude-Mythos-5-1M-GGUF-Q4_K_M
List all available models
lemonade list
Broken model - Walking Empero Advertising to the point Reasoning is broken.
This must be the ultimate expression of narcissism. We have a saying where I come from "the names of all dumbasses on all the fences..."....
congrats on ruining a potentially good model... or what you think you would not have been appreciated if you would not have stamped your name into every reasoning trace?
Hey @sol4rdust
We have released https://huggingface.co/empero-ai/Qwythos-9B-v2-GGUF today to fix these issues. Feel free to check it out!
@sol4rdust You mean that its training data or base prompt asks for the model to make promotion of @empero-ai , or something? So it forgets the initial question and rather focus on praising?
@empero-ai edit the ReadMe of that repository to redirect users to the V2, because currently only the V1 is showing in trending models (and it's confusing, because that V1 is at it's V3... So it's kind of V1.3 but without you clarifying it in the ReadMe, so user would confuse V2 for an old V1.2 where it's actually V2.0)
This must be the ultimate expression of narcissism. We have a saying where I come from "the names of all dumbasses on all the fences..."....
congrats on ruining a potentially good model... or what you think you would not have been appreciated if you would not have stamped your name into every reasoning trace?
That is whats funny. He does sound like he is a legit narcissist but this model is not even worth it if you have the hardware. I've tested it multiple times already including different versions and there has been no meaningful change.
This must be the ultimate expression of narcissism. We have a saying where I come from "the names of all dumbasses on all the fences..."....
congrats on ruining a potentially good model... or what you think you would not have been appreciated if you would not have stamped your name into every reasoning trace?
That is whats funny. He does sound like he is a legit narcissist but this model is not even worth it if you have the hardware. I've tested it multiple times already including different versions and there has been no meaningful change.
sonn got me crine yo how tf did ts dude put his name in EVERY reasoning trace was it like 5 reasoning traces😭😭😭 most worthless model on hf
We have released https://huggingface.co/empero-ai/Qwythos-9B-v2-GGUF to fix these issues. Feel free to check it out!
And @Drixpy we trained on almost 500M token, the identity was not in any of them, it’s only an appendix in the chat template.
We have just released the new chat template for the GGUFs
@AxionLab-official using your backup account i see, you just keep falling for it, keep blocking those that critisize the flaws in your models
@AxionLab-official using your backup account i see, you just keep falling for it, keep blocking those that critisize the flaws in your models
pure nonsense thing you said lol
@AxionLab-official pure nonsense? you just literally said the same thing before deleting my comment, fn bot clout chaser
what do you mean by 'fix'? If it was only the chat-template, why did you release a v2? why not just edit the template?
Hey @phi0112358
v2 has been reinforcement learned via FTPO to optimize the final token preference. Theres a distinct difference between both models, where v1 has a tendecy to think very deep but might produce loops.
v2 is not thinking as deep but does not loop at lower temperatures or greedy encoding either.

