Instructions to use mlx-community/Qwen3-30B-A3B-4bit-DWQ-05082025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mlx-community/Qwen3-30B-A3B-4bit-DWQ-05082025 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/Qwen3-30B-A3B-4bit-DWQ-05082025")

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/Qwen3-30B-A3B-4bit-DWQ-05082025 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/Qwen3-30B-A3B-4bit-DWQ-05082025"

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": "mlx-community/Qwen3-30B-A3B-4bit-DWQ-05082025"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use mlx-community/Qwen3-30B-A3B-4bit-DWQ-05082025 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/Qwen3-30B-A3B-4bit-DWQ-05082025"

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/Qwen3-30B-A3B-4bit-DWQ-05082025

Run Hermes

hermes

MLX LM

How to use mlx-community/Qwen3-30B-A3B-4bit-DWQ-05082025 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/Qwen3-30B-A3B-4bit-DWQ-05082025"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "mlx-community/Qwen3-30B-A3B-4bit-DWQ-05082025"
# 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/Qwen3-30B-A3B-4bit-DWQ-05082025",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Template with LM studio

by jppaolim - opened May 12, 2025

Discussion

jppaolim

May 12, 2025

There is some issue with LM Studio prompt format. Don't know if this is useable on other servers.
See error:
Failed to send message
Error rendering prompt with jinja template: "Error: Parser Error: Expected closing statement token. OpenSquareBracket !== CloseStatement.

Waton

May 14, 2025

Just grab the one from an official qwen in My Models > LLMs > Actions > Edit model default configs > Prompt > Prompt Template > Template (Jinja) and copy-paste it in the same place for the DWQ model.

tesla1900

May 17, 2025

That did not work for me.

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