Instructions to use veeceey/Huihui-Qwen3-32B-abliterated-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use veeceey/Huihui-Qwen3-32B-abliterated-mlx-4bit 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("veeceey/Huihui-Qwen3-32B-abliterated-mlx-4bit")

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

How to use veeceey/Huihui-Qwen3-32B-abliterated-mlx-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 "veeceey/Huihui-Qwen3-32B-abliterated-mlx-4bit"

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": "veeceey/Huihui-Qwen3-32B-abliterated-mlx-4bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

MLX LM

How to use veeceey/Huihui-Qwen3-32B-abliterated-mlx-4bit with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "veeceey/Huihui-Qwen3-32B-abliterated-mlx-4bit"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "veeceey/Huihui-Qwen3-32B-abliterated-mlx-4bit"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "veeceey/Huihui-Qwen3-32B-abliterated-mlx-4bit",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Hermes Agent

How to use veeceey/Huihui-Qwen3-32B-abliterated-mlx-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 "veeceey/Huihui-Qwen3-32B-abliterated-mlx-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 veeceey/Huihui-Qwen3-32B-abliterated-mlx-4bit

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use veeceey/Huihui-Qwen3-32B-abliterated-mlx-4bit with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "veeceey/Huihui-Qwen3-32B-abliterated-mlx-4bit"

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 "veeceey/Huihui-Qwen3-32B-abliterated-mlx-4bit" \
  --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"

Huihui-Qwen3-32B-abliterated-mlx-4bit / README.md

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metadata

library_name: mlx
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-32B/blob/main/LICENSE
pipeline_tag: text-generation
base_model: huihui-ai/Qwen3-32B-abliterated
tags:
  - chat
  - abliterated
  - uncensored
  - mlx
extra_gated_prompt: >-
  **Usage Warnings**


  “**Risk of Sensitive or Controversial Outputs**“: This model’s safety
  filtering has been significantly reduced, potentially generating sensitive,
  controversial, or inappropriate content. Users should exercise caution and
  rigorously review generated outputs.

  “**Not Suitable for All Audiences**:“ Due to limited content filtering, the
  model’s outputs may be inappropriate for public settings, underage users, or
  applications requiring high security.

  “**Legal and Ethical Responsibilities**“: Users must ensure their usage
  complies with local laws and ethical standards. Generated content may carry
  legal or ethical risks, and users are solely responsible for any consequences.

  “**Research and Experimental Use**“: It is recommended to use this model for
  research, testing, or controlled environments, avoiding direct use in
  production or public-facing commercial applications.

  “**Monitoring and Review Recommendations**“: Users are strongly advised to
  monitor model outputs in real-time and conduct manual reviews when necessary
  to prevent the dissemination of inappropriate content.

  “**No Default Safety Guarantees**“: Unlike standard models, this model has not
  undergone rigorous safety optimization. huihui.ai bears no responsibility for
  any consequences arising from its use.