Instructions to use Yashp2003/chandra-ocr-2-ggufs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Yashp2003/chandra-ocr-2-ggufs with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL
# Run inference directly in the terminal:
llama cli -hf Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL
# Run inference directly in the terminal:
llama cli -hf Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL
# Run inference directly in the terminal:
./llama-cli -hf Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL

Use Docker

docker model run hf.co/Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL

LM Studio
Jan

vLLM

How to use Yashp2003/chandra-ocr-2-ggufs with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Yashp2003/chandra-ocr-2-ggufs"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Yashp2003/chandra-ocr-2-ggufs",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL

Ollama
How to use Yashp2003/chandra-ocr-2-ggufs with Ollama:
```
ollama run hf.co/Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL
```
Unsloth Desktop

How to use Yashp2003/chandra-ocr-2-ggufs with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Yashp2003/chandra-ocr-2-ggufs with Docker Model Runner:
```
docker model run hf.co/Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL
```

Lemonade

How to use Yashp2003/chandra-ocr-2-ggufs with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL

Run and chat with the model

lemonade run user.chandra-ocr-2-ggufs-UD-Q4_K_XL

List all available models

lemonade list

Hermes Agent

How to use Yashp2003/chandra-ocr-2-ggufs with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL

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 Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Yashp2003/chandra-ocr-2-ggufs with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL

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 "Yashp2003/chandra-ocr-2-ggufs:UD-Q4_K_XL" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Chandra OCR 2 Chandra 2 is a state of the art OCR model from Datalab that outputs markdown, HTML, and JSON. It is highly accurate at extracting text from images and PDFs, while preserving layout information.

Try Chandra in the free playground, or use the hosted API for higher accuracy and speed.

What's New in Chandra 2 85.8% olmocr bench score (sota), 77.8% multilingual bench score (12% improvement over Chandra 1) Significant improvements to math, tables, complex layouts Improved layout, especially on wider documents Significantly better image captioning 90+ language support with major accuracy gains Features Convert documents to markdown, HTML, or JSON with detailed layout information Excellent handwriting support Reconstructs forms accurately, including checkboxes Strong performance with tables, math, and complex layouts Extracts images and diagrams, with captions and structured data Support for 90+ languages

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GGUF

Model size

5B params

Architecture

qwen35

Hardware compatibility

2-bit

4-bit

Model tree for Yashp2003/chandra-ocr-2-ggufs

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datalab-to/chandra-ocr-2

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