Instructions to use AutomatosX/AX-Qwen3-Coder-Next-MLX-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AutomatosX/AX-Qwen3-Coder-Next-MLX-6bit 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("AutomatosX/AX-Qwen3-Coder-Next-MLX-6bit")

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 AutomatosX/AX-Qwen3-Coder-Next-MLX-6bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "AutomatosX/AX-Qwen3-Coder-Next-MLX-6bit"

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": "AutomatosX/AX-Qwen3-Coder-Next-MLX-6bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use AutomatosX/AX-Qwen3-Coder-Next-MLX-6bit 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 "AutomatosX/AX-Qwen3-Coder-Next-MLX-6bit"

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 AutomatosX/AX-Qwen3-Coder-Next-MLX-6bit

Run Hermes

hermes

OpenClaw new

How to use AutomatosX/AX-Qwen3-Coder-Next-MLX-6bit with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "AutomatosX/AX-Qwen3-Coder-Next-MLX-6bit"

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 "AutomatosX/AX-Qwen3-Coder-Next-MLX-6bit" \
  --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"

MLX LM

How to use AutomatosX/AX-Qwen3-Coder-Next-MLX-6bit with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "AutomatosX/AX-Qwen3-Coder-Next-MLX-6bit"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "AutomatosX/AX-Qwen3-Coder-Next-MLX-6bit"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "AutomatosX/AX-Qwen3-Coder-Next-MLX-6bit",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

AutomatosX commited on 10 days ago

Commit

e9519fc

verified ·

1 Parent(s): 461581f

Correct logical model size information

Browse files

Document the logical target parameter count and, where needed, correct the Safetensors index metadata so packed quantized storage is not mistaken for model size. Weight files and shard weight maps are unchanged.

Files changed (1) hide show

README.md +4 -0

README.md CHANGED Viewed

@@ -18,6 +18,10 @@ tags:
 # AX Qwen3 Coder Next MLX 6-bit
 This is a revision-pinned, transparent mirror of
 [mlx-community/Qwen3-Coder-Next-6bit](https://huggingface.co/mlx-community/Qwen3-Coder-Next-6bit)
 at commit `9d12cc36cc6c386ffd04f7c8f0de6ccb29c5927e`.

 # AX Qwen3 Coder Next MLX 6-bit
+> **Parameter count:** approximately 79.67B logical parameters (80B total,
+> 3B active per token). `6-bit` is the quantization precision, not a 6B
+> model-size claim.
 This is a revision-pinned, transparent mirror of
 [mlx-community/Qwen3-Coder-Next-6bit](https://huggingface.co/mlx-community/Qwen3-Coder-Next-6bit)
 at commit `9d12cc36cc6c386ffd04f7c8f0de6ccb29c5927e`.