LFM2.5-VL-450M-MLX-8bit

LiquidAI/LFM2.5-VL-450M-MLX-8bit

LFM2.5-VL-450M-MLX-8bit is a image-text-to-text model from LiquidAI. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as other.

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Parameters

449M

557 MB on disk

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Hugging Face

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.safetensors557 MB · 99%

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How the weights are stored.

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Base models

LiquidAI/LFM2.5-VL-450M

Model card

From the Hugging Face model README

<div align="center"> <img src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png" alt="Liquid AI" style="width: 100%; max-width: 100%;"> <p> <a href="https://playground.liquid.ai/"><strong>Try LFM</strong></a> • <a href="https://docs.liquid.ai/lfm"><strong>Documentation</strong></a> • <a href="https://leap.liquid.ai/"><strong>LEAP</strong></a> • <a href="https://www.liquid.ai/blog/"><strong>Blog</strong></a> </p> </div>

LFM2.5-VL-450M-MLX-8bit

MLX export of LFM2.5-VL-450M for Apple Silicon inference.

LFM2.5-VL-450M is a vision-language model built on the LFM2.5-350M backbone with a SigLIP2 NaFlex vision encoder (86M). It supports OCR, document comprehension, multilingual vision understanding, bounding box prediction, and function calling.

Model Details

Property	Value
Parameters	450M
Precision	8-bit
Group Size	64
Size	0.52 GB
Context Length	32K
Vision Encoder	SigLIP2 NaFlex (86M)
Native Resolution	up to 512x512

Quickstart

uv pip install 'mlx-vlm==0.3.9'

from mlx_vlm import load, generate
from mlx_vlm.utils import load_image

model, processor = load("LiquidAI/LFM2.5-VL-450M-MLX-8bit")

image = load_image("photo.jpg")

# Apply chat template (required for LFM2.5-VL)
messages = [{"role": "user", "content": [
    {"type": "image"},
    {"type": "text", "text": "What do you see in this image?"},
]}]
prompt = processor.apply_chat_template(messages, add_generation_prompt=True)

result = generate(
    model,
    processor,
    prompt,
    [image],
    temp=0.1,
    min_p=0.15,
    repetition_penalty=1.05,
    verbose=True,
)
print(result.text)

Recommended Sampling Parameters

Parameter	Value
temperature	0.1
min_p	0.15
repetition_penalty	1.05

License

This model is released under the LFM 1.0 License.

Task: Image-Text-to-Text
Library: mlx
Type: lfm2-vl
License: other
Languages: en, ja, ko, fr, es, de
Created: Apr 8, 2026
Updated: Aug 12, 2026