Instructions to use lemuralabs/Qwen3.6-27B-V2-abliterated-uncensored-OptiQ-3.7bpw-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use lemuralabs/Qwen3.6-27B-V2-abliterated-uncensored-OptiQ-3.7bpw-mlx 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("lemuralabs/Qwen3.6-27B-V2-abliterated-uncensored-OptiQ-3.7bpw-mlx")
config = load_config("lemuralabs/Qwen3.6-27B-V2-abliterated-uncensored-OptiQ-3.7bpw-mlx")

# 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 lemuralabs/Qwen3.6-27B-V2-abliterated-uncensored-OptiQ-3.7bpw-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 "lemuralabs/Qwen3.6-27B-V2-abliterated-uncensored-OptiQ-3.7bpw-mlx"

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": "lemuralabs/Qwen3.6-27B-V2-abliterated-uncensored-OptiQ-3.7bpw-mlx"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use lemuralabs/Qwen3.6-27B-V2-abliterated-uncensored-OptiQ-3.7bpw-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 "lemuralabs/Qwen3.6-27B-V2-abliterated-uncensored-OptiQ-3.7bpw-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 lemuralabs/Qwen3.6-27B-V2-abliterated-uncensored-OptiQ-3.7bpw-mlx

Run Hermes

hermes

OpenClaw new

How to use lemuralabs/Qwen3.6-27B-V2-abliterated-uncensored-OptiQ-3.7bpw-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 "lemuralabs/Qwen3.6-27B-V2-abliterated-uncensored-OptiQ-3.7bpw-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 "lemuralabs/Qwen3.6-27B-V2-abliterated-uncensored-OptiQ-3.7bpw-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"

Amazing work, thank you

by pmm17200 - opened May 26

Discussion

pmm17200

May 26

Amazing model, never have experienced such a good output qualitity with ablit and low quant. Congrats!
Any plans to include native MTP?

junafinity

May 27

•

edited May 27

Happy that our model is serving you well. Regarding MTP, we're waiting to see if 3.7 model is coming out this week, if not we will get started on this 3.6 model

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment