Instructions to use Liyulingyue/PaddleOCR-VL-half-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Liyulingyue/PaddleOCR-VL-half-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Liyulingyue/PaddleOCR-VL-half-GGUF",
	filename="llm_model.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Liyulingyue/PaddleOCR-VL-half-GGUF 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 Liyulingyue/PaddleOCR-VL-half-GGUF:Q4_0
# Run inference directly in the terminal:
llama cli -hf Liyulingyue/PaddleOCR-VL-half-GGUF:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Liyulingyue/PaddleOCR-VL-half-GGUF:Q4_0
# Run inference directly in the terminal:
llama cli -hf Liyulingyue/PaddleOCR-VL-half-GGUF:Q4_0

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 Liyulingyue/PaddleOCR-VL-half-GGUF:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf Liyulingyue/PaddleOCR-VL-half-GGUF:Q4_0

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 Liyulingyue/PaddleOCR-VL-half-GGUF:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Liyulingyue/PaddleOCR-VL-half-GGUF:Q4_0

Use Docker

docker model run hf.co/Liyulingyue/PaddleOCR-VL-half-GGUF:Q4_0

LM Studio
Jan
Ollama
How to use Liyulingyue/PaddleOCR-VL-half-GGUF with Ollama:
```
ollama run hf.co/Liyulingyue/PaddleOCR-VL-half-GGUF:Q4_0
```

Unsloth Studio

How to use Liyulingyue/PaddleOCR-VL-half-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Liyulingyue/PaddleOCR-VL-half-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Liyulingyue/PaddleOCR-VL-half-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Liyulingyue/PaddleOCR-VL-half-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use Liyulingyue/PaddleOCR-VL-half-GGUF with Docker Model Runner:
```
docker model run hf.co/Liyulingyue/PaddleOCR-VL-half-GGUF:Q4_0
```

Lemonade

How to use Liyulingyue/PaddleOCR-VL-half-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Liyulingyue/PaddleOCR-VL-half-GGUF:Q4_0

Run and chat with the model

lemonade run user.PaddleOCR-VL-half-GGUF-Q4_0

List all available models

lemonade list

PaddleOCR-VL GGUF models hallucinate on large blocks of text

by alex-dinh - opened Jan 13

Discussion

alex-dinh

Jan 13

When I input an image containing a block of text to the PaddleOCR-VL GGUF, the output contains a lot of hallucinations.

For example, I tried with using this as input

And the output is this:

One advantage of parameterizing policies according to the soft-max action preferences is that the action-value and the?? are the same as the??.

This does not happen with the vllm example found here: https://docs.vllm.ai/projects/recipes/en/latest/PaddlePaddle/PaddleOCR-VL.html#installing-vllm

I get this issue even when using the Q8 and Q16 GGUF models. Does anyone know how to address this issue?

Liyulingyue

Owner Jan 14

I only run it on my edge devices(just for some simple text recognition) and haven't tried processing such large amounts of text.
It might have caused some destructive accuracy interference when decoupling the original process...

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment