Instructions to use AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MLX-FP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MLX-FP4 with MLX:

# Make sure mlx-vlm is installed
# pip install --upgrade mlx-vlm

from mlx_vlm import load, generate
from mlx_vlm.prompt_utils import apply_chat_template
from mlx_vlm.utils import load_config

# Load the model
model, processor = load("AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MLX-FP4")
config = load_config("AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MLX-FP4")

# Prepare input
image = ["http://images.cocodataset.org/val2017/000000039769.jpg"]
prompt = "Describe this image."

# Apply chat template
formatted_prompt = apply_chat_template(
    processor, config, prompt, num_images=1
)

# Generate output
output = generate(model, processor, formatted_prompt, image)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings
LM Studio

How to use AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MLX-FP4 with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MLX-FP4"

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MLX-FP4"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MLX-FP4 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 "AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MLX-FP4"

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 AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MLX-FP4

Run Hermes

hermes

OpenClaw new

How to use AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MLX-FP4 with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MLX-FP4"

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 "AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MLX-FP4" \
  --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"

AEON-7 commited on Jun 28

Commit

50bad6c

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1 Parent(s): 4895427

add AEON Qwen cover art

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@@ -41,6 +41,8 @@ tags:
 # Qwen3.6-27B-AEON-Ultimate-Uncensored — MLX FP4 (mixed mxfp4 + 8-bit islands, compact)
 > **The compact, fast, MTP-accelerated Apple-Silicon build** of [`AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16`](https://huggingface.co/AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16). True 4-bit `mxfp4` on the bulk of the hybrid decoder, **8-bit affine islands on the sensitive GQA k/v + embedding + head**, and **bf16** on the Gated-DeltaNet state dynamics, the vision tower, and the MTP head. Built and validated on a **MacBook Pro M4 Pro (48 GB)**.
 >
 > **Target hardware: Apple Silicon (M1+), runs on 24 GB unified memory** — 16 GB on disk, ~17 GB peak. **15.2 tok/s single-stream, 26.5 tok/s with MTP self-speculation (1.78× lossless).** Full multimodal (text + image) via [`mlx-vlm`](https://github.com/Blaizzy/mlx-vlm).

 # Qwen3.6-27B-AEON-Ultimate-Uncensored — MLX FP4 (mixed mxfp4 + 8-bit islands, compact)
+![AEON Qwen — Supreme Being of the Digital Cosmos](cartridge.jpg)
 > **The compact, fast, MTP-accelerated Apple-Silicon build** of [`AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16`](https://huggingface.co/AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16). True 4-bit `mxfp4` on the bulk of the hybrid decoder, **8-bit affine islands on the sensitive GQA k/v + embedding + head**, and **bf16** on the Gated-DeltaNet state dynamics, the vision tower, and the MTP head. Built and validated on a **MacBook Pro M4 Pro (48 GB)**.
 >
 > **Target hardware: Apple Silicon (M1+), runs on 24 GB unified memory** — 16 GB on disk, ~17 GB peak. **15.2 tok/s single-stream, 26.5 tok/s with MTP self-speculation (1.78× lossless).** Full multimodal (text + image) via [`mlx-vlm`](https://github.com/Blaizzy/mlx-vlm).