Instructions to use dougvk/chandra-ocr-2-BF16-GGUF-RDNA4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use dougvk/chandra-ocr-2-BF16-GGUF-RDNA4 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 dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16 # Run inference directly in the terminal: llama cli -hf dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16 # Run inference directly in the terminal: llama cli -hf dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16
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 dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16 # Run inference directly in the terminal: ./llama-cli -hf dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16
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 dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16
Use Docker
docker model run hf.co/dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16
- LM Studio
- Jan
- vLLM
How to use dougvk/chandra-ocr-2-BF16-GGUF-RDNA4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "dougvk/chandra-ocr-2-BF16-GGUF-RDNA4" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "dougvk/chandra-ocr-2-BF16-GGUF-RDNA4", "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/dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16
- Ollama
How to use dougvk/chandra-ocr-2-BF16-GGUF-RDNA4 with Ollama:
ollama run hf.co/dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16
- Unsloth Desktop
- Pi
How to use dougvk/chandra-ocr-2-BF16-GGUF-RDNA4 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16
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": "dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use dougvk/chandra-ocr-2-BF16-GGUF-RDNA4 with Docker Model Runner:
docker model run hf.co/dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16
- Lemonade
How to use dougvk/chandra-ocr-2-BF16-GGUF-RDNA4 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16
Run and chat with the model
lemonade run user.chandra-ocr-2-BF16-GGUF-RDNA4-BF16
List all available models
lemonade list
- Hermes Agent
How to use dougvk/chandra-ocr-2-BF16-GGUF-RDNA4 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16
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 dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use dougvk/chandra-ocr-2-BF16-GGUF-RDNA4 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16
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 "dougvk/chandra-ocr-2-BF16-GGUF-RDNA4:BF16" \ --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"
Download manifest.json from dougvk/chandra-ocr-2-BF16-GGUF-RDNA4: direct link, hf CLI and curl.
- Browser
- Download file 1.05 kB
-
https://huggingface.co/dougvk/chandra-ocr-2-BF16-GGUF-RDNA4/resolve/main/manifest.json
- Command line
-
hf download hf://dougvk/chandra-ocr-2-BF16-GGUF-RDNA4/manifest.json
-
curl -L -o manifest.json https://huggingface.co/dougvk/chandra-ocr-2-BF16-GGUF-RDNA4/resolve/main/manifest.json
1.05 kB
| { | |
| "artifact": "BF16 GGUF without the unused MTP draft head", | |
| "chandra_ocr_version": "0.2.0", | |
| "converter": { | |
| "commit": "8f5ab832ca7d8a7b4f23687693fb8b0ecbc227e7", | |
| "repository": "ggml-org/llama.cpp" | |
| }, | |
| "files": { | |
| "LICENSE": { | |
| "bytes": 14742, | |
| "sha256": "126948ded70d791f4223175a8867cb64bd09bf8aeb7084b812393c876fdc6e1c" | |
| }, | |
| "chandra-ocr-2.BF16.gguf": { | |
| "bytes": 9695791648, | |
| "sha256": "4e9d5fa9854cf820d4425d28034df31ec1221a7f9d1082b0c4359d79f318cb56" | |
| }, | |
| "chandra-ocr-2.mmproj-bf16.gguf": { | |
| "bytes": 675568864, | |
| "sha256": "54ddb8285933512cdbf1c84238aa0435b473a6efef2caeda8ca802c2899e87b3" | |
| }, | |
| "chat_template.jinja": { | |
| "bytes": 7622, | |
| "sha256": "0d158f349ca965f7eea9db0eb45cd177b85bb0e4ae05dcdd0f060da8f7d41812" | |
| } | |
| }, | |
| "model": { | |
| "repository": "datalab-to/chandra-ocr-2", | |
| "revision": "af93b47dba1b47b6640c86ccf487ed2260ab9a09", | |
| "source_weight_sha256": "0804568be9f099d6479fad9ed77a4da4611f3c1e7bc6e009af7dce45e8aa3847" | |
| }, | |
| "schema_version": 1 | |
| } | |