Instructions to use choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX", "messages": [ {"role": "user", "content": "Hello"} ] }' - Hermes Agent
How to use choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX"
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 choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX"
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 "choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Qwen3.8 27B AEON Ultimate Uncensored โ 4-bit MLX
This is a 4-bit MLX quantization for Apple Silicon of AEON-7/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16.
Original Uncensored model made by @SpaceTimeViking , complete credit to him and all his work https://x.com/SpaceTimeViking
All model and fine-tuning credit belongs to the original author, AEON-7, and the upstream Qwen team. This repository only provides an MLX conversion and quantization for easier local use on Apple Silicon. No additional fine-tuning or intentional behavioral changes were made.
Quantization
- Format: MLX
- Quantization: 4-bit affine
- Group size: 64
- Approximate download size: 14 GB
- Intended platform: Apple Silicon macOS
- Recommended unified memory: 32 GB or more
Install
pip install -U mlx-lm
Run an interactive chat
mlx_lm.chat \
--model choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX \
--max-tokens 8192 \
--temp 0.6 \
--top-p 0.95
The first launch downloads the model from Hugging Face. Later launches use the local Hugging Face cache.
Run an OpenAI-compatible local server
Thinking enabled:
mlx_lm.server \
--model choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX \
--host 127.0.0.1 \
--port 8081 \
--max-tokens 8192 \
--temp 0.6 \
--top-p 0.95 \
--chat-template-args '{"enable_thinking":true}'
Thinking disabled:
mlx_lm.server \
--model choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX \
--host 127.0.0.1 \
--port 8081 \
--max-tokens 8192 \
--temp 0.6 \
--top-p 0.95 \
--chat-template-args '{"enable_thinking":false}'
The API base URL is then http://127.0.0.1:8081/v1.
Verified locally
- Text generation
- Interactive
mlx_lm.chat - Thinking and non-thinking modes
mlx_lm.serverthrough its OpenAI-compatible API- Local use through the Pi coding agent
Limitations
- This conversion is intended for Apple Silicon and requires MLX.
- The current conversion contains no
vision_configor vision preprocessor assets. Image input and image generation are not supported or claimed. - Quantization may reduce quality compared with the BF16 source model.
- The model can produce inaccurate, unsafe, or objectionable output. Validate outputs before using them in production or high-stakes settings.
- Please also read the original model card for its intended use, behavior, and limitations.
License and attribution
Released under the Apache License 2.0, matching the source repository's declared license. See LICENSE.
- Source model: AEON-7/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16
- Upstream family: Qwen
- MLX conversion and quantization: choppedgarlic
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Model tree for choppedgarlic/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX
Base model
Qwen/Qwen3.8-27B