Instructions to use Thox-ai/ThoxMythos-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Thox-ai/ThoxMythos-9B 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 Thox-ai/ThoxMythos-9B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Thox-ai/ThoxMythos-9B:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Thox-ai/ThoxMythos-9B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Thox-ai/ThoxMythos-9B: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 Thox-ai/ThoxMythos-9B:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Thox-ai/ThoxMythos-9B: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 Thox-ai/ThoxMythos-9B:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Thox-ai/ThoxMythos-9B:Q4_K_M

Use Docker

docker model run hf.co/Thox-ai/ThoxMythos-9B:Q4_K_M

LM Studio
Jan

vLLM

How to use Thox-ai/ThoxMythos-9B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Thox-ai/ThoxMythos-9B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Thox-ai/ThoxMythos-9B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Thox-ai/ThoxMythos-9B:Q4_K_M

Ollama
How to use Thox-ai/ThoxMythos-9B with Ollama:
```
ollama run hf.co/Thox-ai/ThoxMythos-9B:Q4_K_M
```
Unsloth Desktop

How to use Thox-ai/ThoxMythos-9B with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Thox-ai/ThoxMythos-9B: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": "Thox-ai/ThoxMythos-9B:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Thox-ai/ThoxMythos-9B with Docker Model Runner:
```
docker model run hf.co/Thox-ai/ThoxMythos-9B:Q4_K_M
```

Lemonade

How to use Thox-ai/ThoxMythos-9B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Thox-ai/ThoxMythos-9B:Q4_K_M

Run and chat with the model

lemonade run user.ThoxMythos-9B-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use Thox-ai/ThoxMythos-9B with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Thox-ai/ThoxMythos-9B: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 Thox-ai/ThoxMythos-9B:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Thox-ai/ThoxMythos-9B with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Thox-ai/ThoxMythos-9B: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 "Thox-ai/ThoxMythos-9B: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"

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Access to this THOX model is granted manually by THOX.ai LLC.

ThoxMythos-9B

Your AI. Your Data. Your Rules.

GGUF rebrand of a community Qwen3.5-9B uncensored model (1M-ctx claim). Not THOX-trained.

What this is

Rebrand of tommytracx/Qwythos-9B-…-uncensored-heretic-GGUF; base recorded as Qwen/Qwen3.5-9B (version string not cross-verified — verify).
License inconsistency in the source card: names the Qwen license but links the Qwen2.5-7B LICENSE file — reconcile.
Community uncensored rebrand with an identity guard; not a THOX-trained model.

Intended use

Redistributed third-party weights for research and internal evaluation. Uncensored/abliterated behavior — deploy behind THOX guardrails only.

Prompt / chat template

<|im_start|>system
{system}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Usage

llama.cpp

huggingface-cli download Thox-ai/ThoxMythos-9B --include '*.gguf' --local-dir ./ThoxMythos-9B
llama-cli -m ./ThoxMythos-9B/model-Q4_K_M.gguf -p "Hello"

Model tree for Thox-ai/ThoxMythos-9B

Base model

Qwen/Qwen3.5-9B-Base

Finetuned

Qwen/Qwen3.5-9B

Quantized

(503)

this model

Thox-ai
/

ThoxMythos-9B

You need to agree to share your contact information to access this model

ThoxMythos-9B

What this is

Intended use

Prompt / chat template

Usage

Links

Model tree for Thox-ai/ThoxMythos-9B

Spaces using Thox-ai/ThoxMythos-9B 10