How to use ggml-org/dots.ocr-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf ggml-org/dots.ocr-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf ggml-org/dots.ocr-GGUF:Q8_0
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ggml-org/dots.ocr-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf ggml-org/dots.ocr-GGUF:Q8_0
# 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 ggml-org/dots.ocr-GGUF:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf ggml-org/dots.ocr-GGUF:Q8_0
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 ggml-org/dots.ocr-GGUF:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf ggml-org/dots.ocr-GGUF:Q8_0
docker model run hf.co/ggml-org/dots.ocr-GGUF:Q8_0
How to use ggml-org/dots.ocr-GGUF with Ollama:
ollama run hf.co/ggml-org/dots.ocr-GGUF:Q8_0
How to use ggml-org/dots.ocr-GGUF with Docker Model Runner:
How to use ggml-org/dots.ocr-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ggml-org/dots.ocr-GGUF:Q8_0
lemonade run user.dots.ocr-GGUF-Q8_0
lemonade list
Any method to improve bbox? Sometimes, the text/table may be not fully included in the bbox.
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