Instructions to use AutomatosX/AX-Qwen3.8-Flash-Next-MLX-AXQ-6bit-MTP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AutomatosX/AX-Qwen3.8-Flash-Next-MLX-AXQ-6bit-MTP with MLX:

# Make sure mlx-vlm is installed
# pip install --upgrade mlx-vlm

from mlx_vlm import load, generate
from mlx_vlm.prompt_utils import apply_chat_template
from mlx_vlm.utils import load_config

# Load the model
model, processor = load("AutomatosX/AX-Qwen3.8-Flash-Next-MLX-AXQ-6bit-MTP")
config = load_config("AutomatosX/AX-Qwen3.8-Flash-Next-MLX-AXQ-6bit-MTP")

# Prepare input
image = ["http://images.cocodataset.org/val2017/000000039769.jpg"]
prompt = "Describe this image."

# Apply chat template
formatted_prompt = apply_chat_template(
    processor, config, prompt, num_images=1
)

# Generate output
output = generate(model, processor, formatted_prompt, image)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings
LM Studio

How to use AutomatosX/AX-Qwen3.8-Flash-Next-MLX-AXQ-6bit-MTP 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-Qwen3.8-Flash-Next-MLX-AXQ-6bit-MTP"

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-Qwen3.8-Flash-Next-MLX-AXQ-6bit-MTP"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use AutomatosX/AX-Qwen3.8-Flash-Next-MLX-AXQ-6bit-MTP 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-Qwen3.8-Flash-Next-MLX-AXQ-6bit-MTP"

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-Qwen3.8-Flash-Next-MLX-AXQ-6bit-MTP

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use AutomatosX/AX-Qwen3.8-Flash-Next-MLX-AXQ-6bit-MTP 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-Qwen3.8-Flash-Next-MLX-AXQ-6bit-MTP"

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-Qwen3.8-Flash-Next-MLX-AXQ-6bit-MTP" \
  --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"

AX-Qwen3.8-Flash-Next-MLX-AXQ-6bit-MTP

An AXQuant (AXQ) mixed-precision MLX checkpoint for Apple Silicon, converted from Qwen/Qwen3.8-Flash-Next (qwen4_exp).

Development evidence — not a certified AXQuant release. Conversion and artifact-integrity records only. No quality, long-context, or MTP-speed claim.

Property	Value
Base model	`Qwen/Qwen3.8-Flash-Next`
Source revision	`de4b8e4d43b917e7706784d8bb445c9af86a3540`
Product family	`qwen4-exp`
Adapter	`qwen4-exp-v1`
Recipe	`qwen38-flash-next-axq6-v0.1.yaml`
Quant lane	6-bit affine
Measured BPW	7.423368831581564
Vision	BF16-protected
PLE / n-gram embeddings	embedding-floor (8-bit affine)
MTP	packaged `mtp.safetensors` (BF16, not a speed claim)
Runtime	MLX-VLM (`qwen4_exp`); AX Engine support is not claimed

Load with a mlx-vlm build that includes models.qwen4_exp.

Downloads last month: 352

Safetensors

Model size

177B params

Tensor type

U32

BF16

I64

MLX

Hardware compatibility

6-bit

Model tree for AutomatosX/AX-Qwen3.8-Flash-Next-MLX-AXQ-6bit-MTP

Base model

Qwen/Qwen3.8-Flash-Next

Quantized

(204)

this model

Collection including AutomatosX/AX-Qwen3.8-Flash-Next-MLX-AXQ-6bit-MTP

Qwen3.8-Flash-Next

Collection

Qwen3.8-Flash-Next (qwen4-exp) development AXQ packs with packaged MTP. Not certified; MLX-VLM runtime; MTP speed not claimed. • 4 items • Updated 6 days ago