Instructions to use CycloneDX/cdx1-pro-mlx-MXFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use CycloneDX/cdx1-pro-mlx-MXFP4 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("CycloneDX/cdx1-pro-mlx-MXFP4")

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

Unsloth Studio

How to use CycloneDX/cdx1-pro-mlx-MXFP4 with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for CycloneDX/cdx1-pro-mlx-MXFP4 to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for CycloneDX/cdx1-pro-mlx-MXFP4 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for CycloneDX/cdx1-pro-mlx-MXFP4 to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="CycloneDX/cdx1-pro-mlx-MXFP4",
    max_seq_length=2048,
)

How to use CycloneDX/cdx1-pro-mlx-MXFP4 with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "CycloneDX/cdx1-pro-mlx-MXFP4"

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": "CycloneDX/cdx1-pro-mlx-MXFP4"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use CycloneDX/cdx1-pro-mlx-MXFP4 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 "CycloneDX/cdx1-pro-mlx-MXFP4"

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 CycloneDX/cdx1-pro-mlx-MXFP4

Run Hermes

hermes

OpenClaw new

How to use CycloneDX/cdx1-pro-mlx-MXFP4 with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "CycloneDX/cdx1-pro-mlx-MXFP4"

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 "CycloneDX/cdx1-pro-mlx-MXFP4" \
  --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 CycloneDX/cdx1-pro-mlx-MXFP4 with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "CycloneDX/cdx1-pro-mlx-MXFP4"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "CycloneDX/cdx1-pro-mlx-MXFP4"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "CycloneDX/cdx1-pro-mlx-MXFP4",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

prabhuat commited on Sep 3, 2025

Commit

a384765

verified ·

1 Parent(s): f7300a6

Upload folder using huggingface_hub

Browse files

Files changed (7) hide show

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config.json +2 -0
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README.md CHANGED Viewed

@@ -1,16 +1,10 @@
 ---
-base_model: CycloneDX/cdx1-pro-mlx
-language:
-- en
-library_name: mlx
-license: apache-2.0
 tags:
-- cdxgen
-- transformers
-- sbom
-- supply-chain-security
 - mlx
 pipeline_tag: text-generation
-datasets:
-- CycloneDX/cdx-docs
 ---

 ---
 tags:
+- unsloth
 - mlx
+base_model: unsloth/Qwen3-Coder-30B-A3B-Instruct
+library_name: mlx
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct/blob/main/LICENSE
 pipeline_tag: text-generation
 ---

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