Instructions to use Lucasgitguy-co/lfm3-vl-2b-heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Lucasgitguy-co/lfm3-vl-2b-heretic with Transformers:

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

pipe = pipeline("image-text-to-text", model="Lucasgitguy-co/lfm3-vl-2b-heretic", trust_remote_code=True)
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)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForImageTextToText
model = AutoModelForImageTextToText.from_pretrained("Lucasgitguy-co/lfm3-vl-2b-heretic", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Lucasgitguy-co/lfm3-vl-2b-heretic with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Lucasgitguy-co/lfm3-vl-2b-heretic"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Lucasgitguy-co/lfm3-vl-2b-heretic",
		"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/Lucasgitguy-co/lfm3-vl-2b-heretic

SGLang

How to use Lucasgitguy-co/lfm3-vl-2b-heretic 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 "Lucasgitguy-co/lfm3-vl-2b-heretic" \
    --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": "Lucasgitguy-co/lfm3-vl-2b-heretic",
		"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 "Lucasgitguy-co/lfm3-vl-2b-heretic" \
        --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": "Lucasgitguy-co/lfm3-vl-2b-heretic",
		"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"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use Lucasgitguy-co/lfm3-vl-2b-heretic with Docker Model Runner:
```
docker model run hf.co/Lucasgitguy-co/lfm3-vl-2b-heretic
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

LFM3-VL 2B Heretic — BF16

LFM3-VL-2B Heretic checkpoint in Hugging Face Safetensors format, with a language model, vision encoder, projector, tokenizer, processor configuration, and custom model code.

File	Size (decimal GB)
`model.safetensors`	3.836

Format and compatibility

The configuration declares Lfm3VlForConditionalGeneration, BF16 weights, and Transformers 5.21.0. Use a compatible Transformers release and the model’s image processor and chat template.

Load

from transformers import AutoModelForImageTextToText, AutoProcessor

repo = "Lucasgitguy-co/lfm3-vl-2b-heretic"
processor = AutoProcessor.from_pretrained(repo, trust_remote_code=True)
model = AutoModelForImageTextToText.from_pretrained(
    repo, torch_dtype="auto", trust_remote_code=True
)

The custom-code loading option executes repository Python code. The example initializes the model; image preprocessing and generation should follow the upstream LFM3-VL guide.

Related formats

For upstream model information and license terms, see LiquidAI/LFM3-VL-2B.

Evaluation and provenance

This card describes the repository files and configuration. Detailed training data, training procedure, and benchmark results are not documented in the inspected artifacts. Loading examples are guidance, not a claim of measured model quality.

License and attribution

The model weights, derived quantizations, and upstream model implementation remain subject to the LFM Open License v1.0 in LICENSE. Its commercial-use limitation applies to derivatives; this release is not an Apache-2.0 model. The publisher’s original documentation additions are available under Apache 2.0, without changing the terms of upstream material.

Repository guide

Downloads last month: 38

Safetensors

Model size

2B params

Tensor type

BF16

Model tree for Lucasgitguy-co/lfm3-vl-2b-heretic

Base model

LiquidAI/LFM3-1.7B-Base

Finetuned

LiquidAI/LFM3-VL-2B

Finetuned

(10)

this model

Quantizations

2 models