Instructions to use hawhyhb/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use hawhyhb/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16 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("hawhyhb/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16")
config = load_config("hawhyhb/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16")

# 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 hawhyhb/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16 with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "hawhyhb/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16"

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": "hawhyhb/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use hawhyhb/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16 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 "hawhyhb/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16"

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 hawhyhb/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use hawhyhb/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16 with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "hawhyhb/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16"

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 "hawhyhb/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16" \
  --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"

Qwen3.6-35B-A3B Uncensored Heretic · MTPLX 4-bit FP16 (+ Vision)

Local MTPLX forge of llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved, with the vision tower restored after 4-bit body conversion.

Body: MLX affine 4-bit (group size 64)
Non-quantized leaves / MTP floats: FP16 (M1/M2 friendly)
Vision: FP16 vision_tower.safetensors (grafted from BF16 source model.visual.*)
Includes mtp.safetensors + mtplx_runtime.json (verified on Apple Silicon)
Approx size: ~21GB on disk

Run with MTPLX

mtplx start --model hawhyhb/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16
# or local path
mtplx start --model ~/Documents/MTPLX/models/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16
# API only
mtplx quickstart --model hawhyhb/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16 --profile sustained --port 8000

Vision works via OpenAI-compatible image_url content parts (no llama.cpp mmproj).

Notes

First forge pass dropped the vision tower; this revision grafts it back and ships preprocessor_config.json / processor_config.json / video_preprocessor_config.json.
Uncensored Heretic text behavior comes from the source repo; use responsibly.

Downloads last month: 1,236

Safetensors

Model size

35B params

Tensor type

U32

F16

BF16

MLX

Hardware compatibility

4-bit

Model tree for hawhyhb/Qwen3.6-35B-A3B-Uncensored-Heretic-MTPLX-4bit-FP16

Base model

Qwen/Qwen3.6-35B-A3B

Finetuned

llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved

Quantized

(16)

this model