Instructions to use TheCluster/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking-MLX-mixed-9.4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheCluster/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking-MLX-mixed-9.4bit 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("TheCluster/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking-MLX-mixed-9.4bit")
config = load_config("TheCluster/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking-MLX-mixed-9.4bit")

# 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 TheCluster/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking-MLX-mixed-9.4bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "TheCluster/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking-MLX-mixed-9.4bit"

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": "TheCluster/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking-MLX-mixed-9.4bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use TheCluster/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking-MLX-mixed-9.4bit 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 "TheCluster/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking-MLX-mixed-9.4bit"

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 TheCluster/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking-MLX-mixed-9.4bit

Run Hermes

hermes

Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking

Quality: quantized (mixed quants per tensor, group size: 32, 9.450 bpw)

Most tensors use 8-bit affine quantization with a group size 32; some important tensors are saved in bf16.

Fully uncensored and then fine-tuned by DavidAU.

Abliteration metrics

Metric	This model	Original model (unsloth/Qwen3.6-27B)
KL divergence	0.0469	0 (by definition)
Refusals	4/100	99/100

IN HOUSE BENCHMARKS [by Nightmedia]:
         arc-c arc/e boolq hswag obkqa piqa  wino
Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking
mxfp8    0.673,0.846,0.905... [instruct mode]
Qwen3.6-27B-Heretic-Uncensored-Finetune-Thinking
mxfp8    0.669,0.835,0.906,...   [instruct mode]
---
BASE UNTUNED MODEL:
Qwen3.6-27B HERETIC (by llmfan46) [instruct mode]
mxfp8    0.644,0.788,0.902,...
Qwen3.6-27B (by Qwen) [instruct mode]
mxfp8    0.647,0.803,0.910,0.773,0.450,0.806,0.742