Instructions to use moganai/MoganOCR-TR-MLX-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use moganai/MoganOCR-TR-MLX-6bit 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("moganai/MoganOCR-TR-MLX-6bit")
config = load_config("moganai/MoganOCR-TR-MLX-6bit")

# 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 moganai/MoganOCR-TR-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 "moganai/MoganOCR-TR-MLX-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": "moganai/MoganOCR-TR-MLX-6bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use moganai/MoganOCR-TR-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 "moganai/MoganOCR-TR-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 moganai/MoganOCR-TR-MLX-6bit

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use moganai/MoganOCR-TR-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 "moganai/MoganOCR-TR-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 "moganai/MoganOCR-TR-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"

MoganOCR-TR-MLX-6bit

6bit MLX version of MoganOCR-TR for Apple silicon. MoganOCR-TR is a 2B-parameter OCR model for Turkish documents: it takes one page image and writes the whole page in reading order as Markdown, with tables as HTML and formulas as LaTeX.

Smaller and faster than 8bit, with little loss. The vision encoder is kept in bfloat16. Other versions: 8bit · 4bit · GGUF.

Usage

pip install -U mlx-vlm
mlx_vlm generate --model moganai/MoganOCR-TR-MLX-6bit --image page.png \
  --prompt "Sayfayı markdown olarak yaz." --max-tokens 8000 --temperature 0

Send one page image per request with the prompt Sayfayı markdown olarak yaz. and temperature 0.

For details on the model, see the main model card.