Instructions to use mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit-DWQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit-DWQ 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("mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit-DWQ")

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 mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit-DWQ with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit-DWQ"

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": "mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit-DWQ"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

MLX LM

How to use mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit-DWQ with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit-DWQ"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit-DWQ"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit-DWQ",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Hermes Agent

How to use mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit-DWQ 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 "mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit-DWQ"

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 mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit-DWQ

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit-DWQ with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit-DWQ"

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 "mlx-community/Qwen3-235B-A22B-Instruct-2507-4bit-DWQ" \
  --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"

Wrong naming. Not DWQ, nor 4bit, but a regular 8 bit quant.

by m-i - opened Jul 23, 2025

Discussion

m-i

MLX Community org Jul 23, 2025

You can see it in the config.json

ivanfioravanti

MLX Community org Jul 23, 2025

Yes, checking this later today and uploading the right file.

ivanfioravanti

MLX Community org Jul 24, 2025

4bit version creation started! It should be live tomorrow.

ivanfioravanti

MLX Community org Jul 25, 2025

Fixed! 4bit version is now live.

ivanfioravanti changed discussion status to closed Jul 25, 2025

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