Instructions to use mlx-community/chartreader-0.8B-OptiQ-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mlx-community/chartreader-0.8B-OptiQ-4bit 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("mlx-community/chartreader-0.8B-OptiQ-4bit")
config = load_config("mlx-community/chartreader-0.8B-OptiQ-4bit")

# 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 mlx-community/chartreader-0.8B-OptiQ-4bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "mlx-community/chartreader-0.8B-OptiQ-4bit"

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": "mlx-community/chartreader-0.8B-OptiQ-4bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use mlx-community/chartreader-0.8B-OptiQ-4bit 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 "mlx-community/chartreader-0.8B-OptiQ-4bit"

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 mlx-community/chartreader-0.8B-OptiQ-4bit

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use mlx-community/chartreader-0.8B-OptiQ-4bit with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "mlx-community/chartreader-0.8B-OptiQ-4bit"

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 "mlx-community/chartreader-0.8B-OptiQ-4bit" \
  --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"

codelion commited on 2 days ago

Commit

2b4e2e1

verified ·

1 Parent(s): 8fbe52b

card: the MTP head's norms are zero-centred (add 1.0 outside optiq serve)

Browse files

Files changed (1) hide show

README.md +2 -0

README.md CHANGED Viewed

@@ -87,3 +87,5 @@ Full write-up: [Fine-tuning a vision model on a Mac](https://mlx-optiq.com/blog/
 Built with [OptiQ](https://mlx-optiq.com) — mixed-precision quantization,
 LoRA, and an OpenAI-compatible server for LLMs and VLMs on Apple Silicon.
 `pip install mlx-optiq`.

 Built with [OptiQ](https://mlx-optiq.com) — mixed-precision quantization,
 LoRA, and an OpenAI-compatible server for LLMs and VLMs on Apple Silicon.
 `pip install mlx-optiq`.
+Using the head outside `optiq serve`: `optiq/mtp.safetensors` holds Qwen's original MTP tensors, so its seven RMSNorm weights (`mtp.*norm*`) are zero-centred, applied as 1 + w. The main weights have the +1 folded in, as MLX expects. Add 1.0 to all seven norms when loading the head into another runtime.