Instructions to use forkjoin-ai/glm-ocr-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use forkjoin-ai/glm-ocr-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 forkjoin-ai/glm-ocr-gguf:Q8_0
# Run inference directly in the terminal:
llama cli -hf forkjoin-ai/glm-ocr-gguf:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf forkjoin-ai/glm-ocr-gguf:Q8_0
# Run inference directly in the terminal:
llama cli -hf forkjoin-ai/glm-ocr-gguf:Q8_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 forkjoin-ai/glm-ocr-gguf:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf forkjoin-ai/glm-ocr-gguf:Q8_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 forkjoin-ai/glm-ocr-gguf:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf forkjoin-ai/glm-ocr-gguf:Q8_0

Use Docker

docker model run hf.co/forkjoin-ai/glm-ocr-gguf:Q8_0

LM Studio
Jan

vLLM

How to use forkjoin-ai/glm-ocr-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "forkjoin-ai/glm-ocr-gguf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "forkjoin-ai/glm-ocr-gguf",
		"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/forkjoin-ai/glm-ocr-gguf:Q8_0

Ollama
How to use forkjoin-ai/glm-ocr-gguf with Ollama:
```
ollama run hf.co/forkjoin-ai/glm-ocr-gguf:Q8_0
```

Unsloth Studio

How to use forkjoin-ai/glm-ocr-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 forkjoin-ai/glm-ocr-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 forkjoin-ai/glm-ocr-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for forkjoin-ai/glm-ocr-gguf to start chatting

Docker Model Runner
How to use forkjoin-ai/glm-ocr-gguf with Docker Model Runner:
```
docker model run hf.co/forkjoin-ai/glm-ocr-gguf:Q8_0
```

Lemonade

How to use forkjoin-ai/glm-ocr-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull forkjoin-ai/glm-ocr-gguf:Q8_0

Run and chat with the model

lemonade run user.glm-ocr-gguf-Q8_0

List all available models

lemonade list

Atomic Chat

buley commited on Jun 9

Commit

0ea12a1

verified ·

1 Parent(s): b463696

Fix model card accuracy (format/filename)

Browse files

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -27,14 +27,14 @@ Forkjoin.ai conversion of [THUDM/GLM-OCR](https://huggingface.co/THUDM/GLM-OCR)
 ### With llama.cpp
 ```bash
-./llama-cli -m glm-ocr-gguf.gguf -p "Your prompt here" -n 256
 ```
 ### With Ollama
 Create a `Modelfile`:
 ```
-FROM ./glm-ocr-gguf.gguf
 ```
 ```bash

 ### With llama.cpp
 ```bash
+./llama-cli -m GLM-OCR-Q8_0.gguf --mmproj mmproj-GLM-OCR-Q8_0.gguf -p "Your prompt here" -n 256
 ```
 ### With Ollama
 Create a `Modelfile`:
 ```
+FROM ./GLM-OCR-Q8_0.gguf
 ```
 ```bash