Instructions to use squ11z1/Mythos-nano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use squ11z1/Mythos-nano with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="squ11z1/Mythos-nano", filename="mythos-nano-Q2_K.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use squ11z1/Mythos-nano 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 squ11z1/Mythos-nano:Q4_K_M # Run inference directly in the terminal: llama cli -hf squ11z1/Mythos-nano:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf squ11z1/Mythos-nano:Q4_K_M # Run inference directly in the terminal: llama cli -hf squ11z1/Mythos-nano: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 squ11z1/Mythos-nano:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf squ11z1/Mythos-nano: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 squ11z1/Mythos-nano:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf squ11z1/Mythos-nano:Q4_K_M
Use Docker
docker model run hf.co/squ11z1/Mythos-nano:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use squ11z1/Mythos-nano with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "squ11z1/Mythos-nano" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "squ11z1/Mythos-nano", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/squ11z1/Mythos-nano:Q4_K_M
- Ollama
How to use squ11z1/Mythos-nano with Ollama:
ollama run hf.co/squ11z1/Mythos-nano:Q4_K_M
- Unsloth Studio
How to use squ11z1/Mythos-nano 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 squ11z1/Mythos-nano 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 squ11z1/Mythos-nano to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for squ11z1/Mythos-nano to start chatting
- Pi
How to use squ11z1/Mythos-nano with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf squ11z1/Mythos-nano: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": "squ11z1/Mythos-nano:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use squ11z1/Mythos-nano with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf squ11z1/Mythos-nano: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 squ11z1/Mythos-nano:Q4_K_M
Run Hermes
hermes
- Atomic Chat new
- Docker Model Runner
How to use squ11z1/Mythos-nano with Docker Model Runner:
docker model run hf.co/squ11z1/Mythos-nano:Q4_K_M
- Lemonade
How to use squ11z1/Mythos-nano with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull squ11z1/Mythos-nano:Q4_K_M
Run and chat with the model
lemonade run user.Mythos-nano-Q4_K_M
List all available models
lemonade list
Cute is
It's interesting a small fine tune can do this at al, and this is kinda fun.
Hey! I’m would be happy if you can test model and give feedback! To be honest, Weibo Lab did most of the work and you can read their post-training method on VibeThinker’s model card, I love their way with Spectrum-to-signal with long reasoning and rewarding right signals.
Also, idk why much people started hating me with claims that this model better than Mythos 5, Opus 4.8, GPT 5.5 or whatever
This model represents method that gives opportunity to achieve good results on coding and math tasks but with price of 200k+ tokens on task so you won’t be happy to chat on basic topics.
Anyway, check this out! Happy to share my work.