Instructions to use numind/NuExtract3-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use numind/NuExtract3-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="numind/NuExtract3-GGUF")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("numind/NuExtract3-GGUF", dtype="auto")

llama-cpp-python

How to use numind/NuExtract3-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="numind/NuExtract3-GGUF",
	filename="NuExtract3-Q4_K.gguf",
)

llm.create_chat_completion(
	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"
					}
				}
			]
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use numind/NuExtract3-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf numind/NuExtract3-GGUF:Q6_K
# Run inference directly in the terminal:
llama-cli -hf numind/NuExtract3-GGUF:Q6_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf numind/NuExtract3-GGUF:Q6_K
# Run inference directly in the terminal:
llama-cli -hf numind/NuExtract3-GGUF:Q6_K

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 numind/NuExtract3-GGUF:Q6_K
# Run inference directly in the terminal:
./llama-cli -hf numind/NuExtract3-GGUF:Q6_K

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 numind/NuExtract3-GGUF:Q6_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf numind/NuExtract3-GGUF:Q6_K

Use Docker

docker model run hf.co/numind/NuExtract3-GGUF:Q6_K

LM Studio
Jan

vLLM

How to use numind/NuExtract3-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "numind/NuExtract3-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": "numind/NuExtract3-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/numind/NuExtract3-GGUF:Q6_K

SGLang

How to use numind/NuExtract3-GGUF with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "numind/NuExtract3-GGUF" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "numind/NuExtract3-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 images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "numind/NuExtract3-GGUF" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "numind/NuExtract3-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"
						}
					}
				]
			}
		]
	}'

Ollama
How to use numind/NuExtract3-GGUF with Ollama:
```
ollama run hf.co/numind/NuExtract3-GGUF:Q6_K
```

Unsloth Studio new

How to use numind/NuExtract3-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 numind/NuExtract3-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 numind/NuExtract3-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for numind/NuExtract3-GGUF to start chatting

Docker Model Runner
How to use numind/NuExtract3-GGUF with Docker Model Runner:
```
docker model run hf.co/numind/NuExtract3-GGUF:Q6_K
```

Lemonade

How to use numind/NuExtract3-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull numind/NuExtract3-GGUF:Q6_K

Run and chat with the model

lemonade run user.NuExtract3-GGUF-Q6_K

List all available models

lemonade list

NuExtract3-GGUF / TYPES.md

SorenDreano

Upload folder using huggingface_hub

4595e30 verified about 20 hours ago

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raw

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Type	Description	Examples
integer	An integer number.	12, 0, -4
number	Any number, including floating point or integers.	3.14, -9.1, 0
string	A general string; can be abstractive or deduced from reasoning.	Hello World, any string
verbatim-string	Strictly extractive from input; preserves all characters (accents, emojis) but normalizes whitespace/tabs to a single space.	John Doe, 1120 Santa Monica Boulevard
date	ISO 8601 compliant. Supports reduced accuracy (YYYY-MM, YYYY, --MM-DD) and week dates (YYYY-Www).	2024-01-15, 2024-01, --12-25
time	ISO 8601 compliant. Supports reduced accuracy and timezone offsets (+hh-mm).	14:30:57, 18:01, 14:30:45.123Z
date-time	ISO 8601 compliant (YYYY-MM-DDThh:mm:ss.s+hh-mm). Can omit components if only date or time is present.	2024-03-14T14:45:00, 2023-05-15T14
duration	ISO 8601 duration (PnYnMnDTnHnMnS). "P3W" (weeks) cannot be combined with other date components.	P2Y1M3D, PT1M30S, P3W
boolean	A logic value of true or false.	true, false
country	Uppercase 2-character ISO 3166-1 country code.	FR, SG, KR
currency	Uppercase 3-character ISO 4217 code. Covers current and historic currencies.	EUR, USD, DEM
language	Lowercase 3-character ISO 639-3 language code.	eng, fra, cos
language-tag	IETF BCP 47 / RFC 5646 tag. Includes language, script (opt), region (opt), and variants.	en-US, zh-Hans-CN, sl-rozaj
script	Titlecase 4-character ISO 15924 script code.	Latn, Kore, Deva
url	RFC 3987 IRI. Supports Unicode characters, schemes (http, ftp), and Punycode for domain names.	https://例子.测试/路径, ftp://user@host/file.txt
email-address	RFC 5322/6531 compliant. Supports internationalized characters in local and domain parts.	firstname.lastname@example.com, 用户@例子.公司
phone-number	E.164 compliant if region is known (e.g., +1...); otherwise, extracted as a raw digit string.	+33612345678, 6505550123
iban	ISO 13616-1 International Bank Account Number. Structure varies by country.	DE89370400440532013000
bic	ISO 9362 Business Identifier Code (8 or 11 characters).	BNPAFRPPXXX, DEUTDEDBFRA
unit-code	UCUM (Unified Code for Units of Measure) code.	m, kg, s, Hz
region:US	Uppercase subdivision code complying to ISO 3166-2:US.	NY, DC, GU
region:FR	Uppercase subdivision code complying to ISO 3166-2:FR.	49 (Maine-et-Loire), MQ (Martinique), V (Rhône-Alpes)
region:IE	Uppercase subdivision code complying to ISO 3166-2:IE.	D (Dublin), C (Connacht), WD (Waterford)
region:GB	Uppercase subdivision code complying to ISO 3166-2:GB.	WSX (West Sussex), WSM (Westminster), WIL (Wiltshire)
region:IT	Uppercase subdivision code complying to ISO 3166-2:IT.	RM (Rome), BZ (Bolzano), 82 (Sicily)
region:ES	Uppercase subdivision code complying to ISO 3166-2:ES.	GA (Galicia), GR (Granada), ML (Melilla)
region:DE	Uppercase subdivision code complying to ISO 3166-2:DE.	BY (Bayern), BE (Berlin), HH (Hamburg)
region:PT	Uppercase subdivision code complying to ISO 3166-2:PT.	11 (Lisbon), 20 (Azores)
region:CA	Uppercase subdivision code complying to ISO 3166-2:CA.	QC (Quebec), NU (Nunavut), YT (Yukon)
region:MX	Uppercase subdivision code complying to ISO 3166-2:MX.	JAL (Jalisco), DIF (Distrito Federal), AGU (Aguascalientes)
region:BR	Uppercase subdivision code complying to ISO 3166-2:BR.	RJ (Rio de Janeiro), DF (Distrito Federal), SP (São Paulo)
region:AU	Uppercase subdivision code complying to ISO 3166-2:AU.	NSW (New South Wales), VIC (Victoria), ACT (Australian Capital Territory)
region:JP	Uppercase subdivision code complying to ISO 3166-2:JP.	13 (Tokyo), 27 (Osaka), 01 (Hokkaidō)
region:KR	Uppercase subdivision code complying to ISO 3166-2:KR.	11 (Seoul), 26 (Busan), 41 (Gyeonggi)