Instructions to use forkjoin-ai/unlimited-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/unlimited-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/unlimited-ocr-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf forkjoin-ai/unlimited-ocr-gguf:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf forkjoin-ai/unlimited-ocr-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf forkjoin-ai/unlimited-ocr-gguf:Q4_K_M

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/unlimited-ocr-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf forkjoin-ai/unlimited-ocr-gguf:Q4_K_M

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/unlimited-ocr-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf forkjoin-ai/unlimited-ocr-gguf:Q4_K_M

Use Docker

docker model run hf.co/forkjoin-ai/unlimited-ocr-gguf:Q4_K_M

LM Studio
Jan

vLLM

How to use forkjoin-ai/unlimited-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/unlimited-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/unlimited-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/unlimited-ocr-gguf:Q4_K_M

Ollama
How to use forkjoin-ai/unlimited-ocr-gguf with Ollama:
```
ollama run hf.co/forkjoin-ai/unlimited-ocr-gguf:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use forkjoin-ai/unlimited-ocr-gguf with Docker Model Runner:
```
docker model run hf.co/forkjoin-ai/unlimited-ocr-gguf:Q4_K_M
```

Lemonade

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

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull forkjoin-ai/unlimited-ocr-gguf:Q4_K_M

Run and chat with the model

lemonade run user.unlimited-ocr-gguf-Q4_K_M

List all available models

lemonade list

Atomic Chat

Unlimited OCR GGUF

Unlimited OCR GGUF is the Edgework/Aether card for the upstream sahilchachra/Unlimited-OCR-GGUF document OCR release. It is admitted as an OCR lane, not a general chat model: requests must provide a page image plus the DeepSeek-OCR chat template prompt.

Artifacts

Artifact	Role
`Unlimited-OCR-Q4_K_M.gguf`	decoder GGUF
`mmproj-Unlimited-OCR-F16.gguf`	multimodal projector

The Edgework qspec pins both files because the projector is required for image tokens. The default qspec prompt is:

<|grounding|>Convert the document to markdown.

llama.cpp

hf download sahilchachra/Unlimited-OCR-GGUF Unlimited-OCR-Q4_K_M.gguf mmproj-Unlimited-OCR-F16.gguf --local-dir ./uocr
llama-mtmd-cli \
  -m ./uocr/Unlimited-OCR-Q4_K_M.gguf \
  --mmproj ./uocr/mmproj-Unlimited-OCR-F16.gguf \
  --chat-template deepseek-ocr \
  --image ./page.png \
  --temp 0 \
  -n 512 \
  -p "<|grounding|>Convert the document to markdown." \
  --ignore-eos

Edgework Admission

This card is tied to open-source/gnosis/monster-swarm/qspecs/unlimited-ocr.qspec.json. The qspec renders a known PDF page to PNG, runs the GGUF + projector through llama-mtmd-cli, and gates on visible OCR text from the page. That proof is separate from chat-completion admission; unlimited-ocr remains outside the generic chat model list.

Cloudflare Mesh

The Cloudflare Worker mesh uses distributed-unlimited-ocr-coordinator as the coordinator service and two layer-node services. Worker config carries:

MODEL_REPO_ID=sahilchachra/Unlimited-OCR-GGUF
MODEL_GGUF=Unlimited-OCR-Q4_K_M.gguf
MMPROJ_GGUF=mmproj-Unlimited-OCR-F16.gguf
OCR_CHAT_TEMPLATE=deepseek-ocr

No Workers AI binding, external paid AI API, or always-on Cloud Run setting is part of this lane.

Downloads last month: 32

GGUF

Model size

3B params

Architecture

deepseek2-ocr

Hardware compatibility

4-bit

Model tree for forkjoin-ai/unlimited-ocr-gguf

Base model

baidu/Unlimited-OCR

Quantized

sahilchachra/Unlimited-OCR-GGUF

Quantized

(1)

this model