Instructions to use AutomatosX/AX-Qwen3-Coder-Next-MLX-AXQ-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AutomatosX/AX-Qwen3-Coder-Next-MLX-AXQ-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-AXQ-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
- Pi
How to use AutomatosX/AX-Qwen3-Coder-Next-MLX-AXQ-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-AXQ-6bit"
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": "AutomatosX/AX-Qwen3-Coder-Next-MLX-AXQ-6bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use AutomatosX/AX-Qwen3-Coder-Next-MLX-AXQ-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-AXQ-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-AXQ-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-AXQ-6bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Hermes Agent
How to use AutomatosX/AX-Qwen3-Coder-Next-MLX-AXQ-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-AXQ-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-AXQ-6bit
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use AutomatosX/AX-Qwen3-Coder-Next-MLX-AXQ-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-AXQ-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-AXQ-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"
Download axquant_source_binding.json from AutomatosX/AX-Qwen3-Coder-Next-MLX-AXQ-6bit: direct link, hf CLI and curl.
- Browser
- Download file 4.36 kB
-
https://huggingface.co/AutomatosX/AX-Qwen3-Coder-Next-MLX-AXQ-6bit/resolve/main/axquant_source_binding.json
- Command line
-
hf download hf://AutomatosX/AX-Qwen3-Coder-Next-MLX-AXQ-6bit/axquant_source_binding.json
-
curl -L -o axquant_source_binding.json https://huggingface.co/AutomatosX/AX-Qwen3-Coder-Next-MLX-AXQ-6bit/resolve/main/axquant_source_binding.json
4.36 kB
| { | |
| "config_sha256": "a7b8098d3b05777f12bb5677a26bf1240a1bb09def1b06b29e6be86cae2e84f8", | |
| "created_at": "2026-10-24T06:43:30.923463Z", | |
| "index_sha256": "e54c170589a729006db825100b4c69cf1c485ee89d3e8dd30aec9dccbf9cea1b", | |
| "members": [ | |
| { | |
| "path": "model-00001-of-00040.safetensors", | |
| "size_bytes": 3999619288 | |
| }, | |
| { | |
| "path": "model-00002-of-00040.safetensors", | |
| "size_bytes": 3999841816 | |
| }, | |
| { | |
| "path": "model-00003-of-00040.safetensors", | |
| "size_bytes": 3999515608 | |
| }, | |
| { | |
| "path": "model-00004-of-00040.safetensors", | |
| "size_bytes": 3999842032 | |
| }, | |
| { | |
| "path": "model-00005-of-00040.safetensors", | |
| "size_bytes": 3999842240 | |
| }, | |
| { | |
| "path": "model-00006-of-00040.safetensors", | |
| "size_bytes": 3999853248 | |
| }, | |
| { | |
| "path": "model-00007-of-00040.safetensors", | |
| "size_bytes": 3999841944 | |
| }, | |
| { | |
| "path": "model-00008-of-00040.safetensors", | |
| "size_bytes": 3999842032 | |
| }, | |
| { | |
| "path": "model-00009-of-00040.safetensors", | |
| "size_bytes": 3999843224 | |
| }, | |
| { | |
| "path": "model-00010-of-00040.safetensors", | |
| "size_bytes": 3999517840 | |
| }, | |
| { | |
| "path": "model-00011-of-00040.safetensors", | |
| "size_bytes": 4000181328 | |
| }, | |
| { | |
| "path": "model-00012-of-00040.safetensors", | |
| "size_bytes": 3999843912 | |
| }, | |
| { | |
| "path": "model-00013-of-00040.safetensors", | |
| "size_bytes": 3999517504 | |
| }, | |
| { | |
| "path": "model-00014-of-00040.safetensors", | |
| "size_bytes": 3999844016 | |
| }, | |
| { | |
| "path": "model-00015-of-00040.safetensors", | |
| "size_bytes": 4000181768 | |
| }, | |
| { | |
| "path": "model-00016-of-00040.safetensors", | |
| "size_bytes": 3999517280 | |
| }, | |
| { | |
| "path": "model-00017-of-00040.safetensors", | |
| "size_bytes": 3999843912 | |
| }, | |
| { | |
| "path": "model-00018-of-00040.safetensors", | |
| "size_bytes": 3999843912 | |
| }, | |
| { | |
| "path": "model-00019-of-00040.safetensors", | |
| "size_bytes": 3999844120 | |
| }, | |
| { | |
| "path": "model-00020-of-00040.safetensors", | |
| "size_bytes": 3999855064 | |
| }, | |
| { | |
| "path": "model-00021-of-00040.safetensors", | |
| "size_bytes": 3999843824 | |
| }, | |
| { | |
| "path": "model-00022-of-00040.safetensors", | |
| "size_bytes": 3999843912 | |
| }, | |
| { | |
| "path": "model-00023-of-00040.safetensors", | |
| "size_bytes": 3999517496 | |
| }, | |
| { | |
| "path": "model-00024-of-00040.safetensors", | |
| "size_bytes": 3999844296 | |
| }, | |
| { | |
| "path": "model-00025-of-00040.safetensors", | |
| "size_bytes": 4000181328 | |
| }, | |
| { | |
| "path": "model-00026-of-00040.safetensors", | |
| "size_bytes": 3999517504 | |
| }, | |
| { | |
| "path": "model-00027-of-00040.safetensors", | |
| "size_bytes": 3999843912 | |
| }, | |
| { | |
| "path": "model-00028-of-00040.safetensors", | |
| "size_bytes": 3999844016 | |
| }, | |
| { | |
| "path": "model-00029-of-00040.safetensors", | |
| "size_bytes": 3999855352 | |
| }, | |
| { | |
| "path": "model-00030-of-00040.safetensors", | |
| "size_bytes": 3999843704 | |
| }, | |
| { | |
| "path": "model-00031-of-00040.safetensors", | |
| "size_bytes": 3999843912 | |
| }, | |
| { | |
| "path": "model-00032-of-00040.safetensors", | |
| "size_bytes": 3999843912 | |
| }, | |
| { | |
| "path": "model-00033-of-00040.safetensors", | |
| "size_bytes": 3999517720 | |
| }, | |
| { | |
| "path": "model-00034-of-00040.safetensors", | |
| "size_bytes": 4000181528 | |
| }, | |
| { | |
| "path": "model-00035-of-00040.safetensors", | |
| "size_bytes": 3999843824 | |
| }, | |
| { | |
| "path": "model-00036-of-00040.safetensors", | |
| "size_bytes": 3999517504 | |
| }, | |
| { | |
| "path": "model-00037-of-00040.safetensors", | |
| "size_bytes": 3999843904 | |
| }, | |
| { | |
| "path": "model-00038-of-00040.safetensors", | |
| "size_bytes": 3999844296 | |
| }, | |
| { | |
| "path": "model-00039-of-00040.safetensors", | |
| "size_bytes": 3999854920 | |
| }, | |
| { | |
| "path": "model-00040-of-00040.safetensors", | |
| "size_bytes": 3365572528 | |
| } | |
| ], | |
| "plan_sha256": "4d2ac0248008d4f90f78ebca6ddff798a6f7951a9f04cb79542d89f10f66b5d4", | |
| "schema_version": "axquant.source-plan-binding.v1", | |
| "source_model": { | |
| "architecture": "Qwen3NextForCausalLM", | |
| "format": "mlx", | |
| "local_path": null, | |
| "model_id": "Qwen/Qwen3-Coder-Next", | |
| "revision": "a7fbcb5c0e12d62a448eaa0e260346bf5dcc0feb" | |
| } | |
| } | |