What is LiquidAI/LFM2.5-VL-450M-GGUF?

--- license: other license_name: lfm1.0 license_link: LICENSE language: - en - ja - ko - fr - es - de - ar - zh pipeline_tag: image-text-to-text tags: - vision - vlm - liquid - lfm2 - lfm2-vl - edge - llama.cpp - lfm2.5 - lfm2.5-vl - gguf base_model: - LiquidAI/LFM2.5-VL-450M --- Try LFM • Docs • LEAP • <a href="https://discord.com/…

What license applies to LiquidAI/LFM2.5-VL-450M-GGUF?

License: other. Verify terms on Hugging Face before commercial use.

How do I run LiquidAI/LFM2.5-VL-450M-GGUF locally?

Download a GGUF file from this page and load it in guIDE or llama.cpp. Pipeline task: image-text-to-text.

Model Intelligence Sheet

LiquidAI/LFM2.5-VL-450M-GGUF overview

Q: What license applies to LiquidAI/LFM2.5-VL-450M-GGUF?

License: other. Verify terms on Hugging Face before commercial use.

Q: How do I run LiquidAI/LFM2.5-VL-450M-GGUF locally?

Download a GGUF file from this page and load it in guIDE or llama.cpp. Pipeline task: image-text-to-text.

Q: How much VRAM or disk space does LiquidAI/LFM2.5-VL-450M-GGUF need?

Runs locally from ~98.1 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

<center <div style="text align: center;" <img src="https://cdn uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png" al…

ggufvisionvlmliquidlfm2lfm2-vledgellama.cpplfm2.5lfm2.5-vlimage-text-to-textenjakofresdearzhbase_model:LiquidAI/LFM2.5-VL-450Mbase_model:quantized:LiquidAI/LFM2.5-VL-450Mlicense:otherendpoints_compatibleregion:us

Runs locally from ~98.1 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads

7,826

Likes

Pipeline

image-text-to-text

Author

LiquidAI

Repository Files & Downloads

12 GGUF files detected

Direct downloads for local inference

File	Type	Quantization	Size	Link
LFM2.5-VL-450M-BF16.gguf	GGUF	BF16	678.5 MB	Download
LFM2.5-VL-450M-F16.gguf	GGUF	F16	678.5 MB	Download
LFM2.5-VL-450M-F32.gguf	GGUF	F32	1.32 GB	Download
LFM2.5-VL-450M-Q4_0.gguf	GGUF	Q4_0	209.2 MB	Download
LFM2.5-VL-450M-Q4_K_M.gguf	GGUF	Q4_K_M	218.7 MB	Download
LFM2.5-VL-450M-Q5_K_M.gguf	GGUF	Q5_K_M	248.3 MB	Download
LFM2.5-VL-450M-Q6_K.gguf	GGUF	Q6_K	279.8 MB	Download
LFM2.5-VL-450M-Q8_0.gguf	GGUF	Q8_0	361.7 MB	Download
mmproj-LFM2.5-VL-450m-BF16.gguf	GGUF	BF16	181.5 MB	Download
mmproj-LFM2.5-VL-450m-F16.gguf	GGUF	F16	180.4 MB	Download
mmproj-LFM2.5-VL-450m-F32.gguf	GGUF	F32	359.5 MB	Download
mmproj-LFM2.5-VL-450m-Q8_0.gguf	GGUF	Q8_0	98.1 MB	Download

Model Details

Model ID	LiquidAI/LFM2.5-VL-450M-GGUF
Author	LiquidAI
Pipeline	image-text-to-text
License	other
Base model	LiquidAI/LFM2.5-VL-450M
Last modified	2026-07-10T02:23:52.000Z

Model README

---

license: other

license_name: lfm1.0

license_link: LICENSE

language:

pipeline_tag: image-text-to-text

tags:

vision
vlm
liquid
lfm2
lfm2-vl
edge
llama.cpp
lfm2.5
lfm2.5-vl
gguf

base_model:

LiquidAI/LFM2.5-VL-450M

---

<img

src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png"

alt="Liquid AI"

style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"

</div>

<a href="https://playground.liquid.ai/"><strong>Try LFM</strong></a> • <a href="https://docs.liquid.ai/lfm/getting-started/welcome"><strong>Docs</strong></a> • <a href="https://leap.liquid.ai/"><strong>LEAP</strong></a> • <a href="https://discord.com/invite/liquid-ai"><strong>Discord</strong></a>

</div>

</center>

<br>

LFM2.5-VL-450M-GGUF

LFM2.5-VL is a new generation of vision models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency.

Find more details in the original model card: https://huggingface.co/LiquidAI/LFM2.5-VL-450M

🏃 How to run LFM2.5-VL

Example usage with llama.cpp:

full precision (F16/F16):

llama-mtmd-cli -hf LiquidAI/LFM2.5-VL-450M-GGUF:F16

fastest inference (Q4_0/Q8_0):

llama-mtmd-cli -hf LiquidAI/LFM2.5-VL-450M-GGUF:Q4_0

📬 Contact

Got questions or want to connect? Join our Discord community
If you are interested in custom solutions with edge deployment, please contact our sales team.

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