Instructions to use orcarouter/GLM-5.3-Flash-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use orcarouter/GLM-5.3-Flash-MLX 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("orcarouter/GLM-5.3-Flash-MLX")
config = load_config("orcarouter/GLM-5.3-Flash-MLX")

# 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 orcarouter/GLM-5.3-Flash-MLX with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "orcarouter/GLM-5.3-Flash-MLX"

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": "orcarouter/GLM-5.3-Flash-MLX"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use orcarouter/GLM-5.3-Flash-MLX 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 "orcarouter/GLM-5.3-Flash-MLX"

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 orcarouter/GLM-5.3-Flash-MLX

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use orcarouter/GLM-5.3-Flash-MLX with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "orcarouter/GLM-5.3-Flash-MLX"

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 "orcarouter/GLM-5.3-Flash-MLX" \
  --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"

hugging-yiii commited on 16 days ago

Commit

2ce99c7

verified ·

1 Parent(s): 43dbfc5

Update promo banner to OrcaCyber Zero 1.5

Browse files

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README.md +4 -4

README.md CHANGED Viewed

@@ -39,12 +39,12 @@ tags:
 <table>
 <tr>
 <td width="150" style="vertical-align: middle;">
-<div align="center"><a href="https://www.orcarouter.ai/models/orca/orcacyber-zero-1.0"><img src="https://www.orcarouter.ai/orca-logo-classic.png" width="90" alt="OrcaCyber Zero 1.0"></a></div>
 </td>
 <td>
-<p>🛡️ <strong>New from Orca &mdash; <a href="https://www.orcarouter.ai/models/orca/orcacyber-zero-1.0">OrcaCyber Zero 1.0</a></strong></p>
-<p>Post-trained for cybersecurity: vulnerability analysis, vulnerability reproduction, red teaming &amp; offensive-security research. <strong>98.07% pass@1 on CyberGym Level&nbsp;1</strong> &middot; 1M context &middot; function calling &middot; OpenAI-compatible API.</p>
-<p><a href="https://www.orcarouter.ai/models/orca/orcacyber-zero-1.0"><img src="https://img.shields.io/badge/Try%20it%20on%20OrcaRouter%20%E2%86%92-FF6A00?style=for-the-badge&amp;labelColor=0B1F3A" alt="Try it on OrcaRouter"></a></p>
 </td>
 </tr>
 </table>

 <table>
 <tr>
 <td width="150" style="vertical-align: middle;">
+<div align="center"><a href="https://www.orcarouter.ai/models/orca/orcacyber-zero-1.5"><img src="https://www.orcarouter.ai/orca-logo-classic.png" width="90" alt="OrcaCyber Zero 1.5"></a></div>
 </td>
 <td>
+<p>🛡️ <strong>New from Orca &mdash; <a href="https://www.orcarouter.ai/models/orca/orcacyber-zero-1.5">OrcaCyber Zero 1.5</a></strong></p>
+<p>Post-trained for cybersecurity: vulnerability analysis, vulnerability reproduction, red teaming &amp; offensive-security research. <strong>100.0 on Cybench &middot; 95.8 on CVE-Bench</strong> &middot; 1M context &middot; function calling &middot; OpenAI-compatible API.</p>
+<p><a href="https://www.orcarouter.ai/models/orca/orcacyber-zero-1.5"><img src="https://img.shields.io/badge/Try%20it%20on%20OrcaRouter%20%E2%86%92-FF6A00?style=for-the-badge&amp;labelColor=0B1F3A" alt="Try it on OrcaRouter"></a></p>
 </td>
 </tr>
 </table>