Instructions to use squ11z1/Mythos-nano-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use squ11z1/Mythos-nano-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="squ11z1/Mythos-nano-GGUF",
	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-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 squ11z1/Mythos-nano-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf squ11z1/Mythos-nano-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 squ11z1/Mythos-nano-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf squ11z1/Mythos-nano-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 squ11z1/Mythos-nano-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf squ11z1/Mythos-nano-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 squ11z1/Mythos-nano-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf squ11z1/Mythos-nano-GGUF:Q4_K_M

Use Docker

docker model run hf.co/squ11z1/Mythos-nano-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use squ11z1/Mythos-nano-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "squ11z1/Mythos-nano-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": "squ11z1/Mythos-nano-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/squ11z1/Mythos-nano-GGUF:Q4_K_M

Ollama
How to use squ11z1/Mythos-nano-GGUF with Ollama:
```
ollama run hf.co/squ11z1/Mythos-nano-GGUF:Q4_K_M
```

Unsloth Studio

How to use squ11z1/Mythos-nano-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 squ11z1/Mythos-nano-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 squ11z1/Mythos-nano-GGUF 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-GGUF to start chatting

How to use squ11z1/Mythos-nano-GGUF 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-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": "squ11z1/Mythos-nano-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use squ11z1/Mythos-nano-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 squ11z1/Mythos-nano-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 squ11z1/Mythos-nano-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use squ11z1/Mythos-nano-GGUF with Docker Model Runner:
```
docker model run hf.co/squ11z1/Mythos-nano-GGUF:Q4_K_M
```

Lemonade

How to use squ11z1/Mythos-nano-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull squ11z1/Mythos-nano-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Mythos-nano-GGUF-Q4_K_M

List all available models

lemonade list

Mythos-nano — GGUF

GGUF quantizations of squ11z1/Mythos-nano (3B reasoning model, Qwen2-class) for llama.cpp / Ollama / LM Studio.

⚠️ Abliterated (uncensored): the refusal direction has been removed — this model will not decline requests a safety-tuned model normally would. Use responsibly, at your own risk. 🚨 Not trained for tool-calling / agentic coding — best on competition-style math & code.

Quants

File	Quant	Size	Notes
`mythos-nano-Q2_K.gguf`	Q2_K	1.27 GB	smallest, lowest quality
`mythos-nano-Q3_K_S.gguf`	Q3_K_S	1.45 GB
`mythos-nano-Q3_K_M.gguf`	Q3_K_M	1.59 GB
`mythos-nano-Q3_K_L.gguf`	Q3_K_L	1.71 GB
`mythos-nano-Q4_K_S.gguf`	Q4_K_S	1.83 GB
`mythos-nano-Q4_K_M.gguf`	Q4_K_M	1.93 GB	recommended balance
`mythos-nano-Q5_K_S.gguf`	Q5_K_S	2.17 GB
`mythos-nano-Q5_K_M.gguf`	Q5_K_M	2.22 GB	high quality
`mythos-nano-Q6_K.gguf`	Q6_K	2.54 GB	near-lossless
`mythos-nano-Q8_0.gguf`	Q8_0	3.29 GB	~lossless
`mythos-nano-f16.gguf`	F16	6.18 GB	full precision

Usage

# llama.cpp
llama-cli -hf squ11z1/Mythos-nano-GGUF:Q4_K_M -p "Find all integer solutions of x^2 - y^2 = 12."
# Ollama
ollama run hf.co/squ11z1/Mythos-nano-GGUF:Q4_K_M

Recommended sampling: temperature 0.6–1.0. This is a reasoning model — expect long chain-of-thought before the final answer.

License

MIT.

Downloads last month: 1,421

GGUF

Model size

3B params

Architecture

qwen2

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

Model tree for squ11z1/Mythos-nano-GGUF

Base model

Qwen/Qwen2.5-3B

Finetuned

Qwen/Qwen2.5-Coder-3B

Finetuned

WeiboAI/VibeThinker-3B

Finetuned

squ11z1/Mythos-nano

Quantized

(4)

this model

squ11z1
/

Mythos-nano-GGUF

Mythos-nano — GGUF

Quants

Usage

License

Model tree for squ11z1/Mythos-nano-GGUF

Space using squ11z1/Mythos-nano-GGUF 1