---
title: "#liquid-ai articles | Hashnode"
description: "Explore 3 articles tagged #liquid-ai on Hashnode. Tutorials, guides, and how-tos from the community."
url: "https://hashnode.com/tag/liquid-ai"
---

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# #liquid-ai

3 posts · 0 followers

[Dragos Roua](https://hashnode.com/@dragosroua) · [Nov 3](https://hashnode.com/posts/an-ai-model-in-your-browser-lfm3-omni-2-2b-on-a-16gb-mbp/6ae9db1c1898719da94d7e15)

### [An AI Model in your Browser? LFM3 Omni 2.2B on a 16GB MBP](https://dragosroua.hashnode.dev/an-ai-model-in-your-browser-lfm3-omni-2-2b-on-a-16gb-mbp?utm_source=hashnode&utm_medium=feed)

I tested Liquid Foundation LFM3 Omni 2.2B model, in a browser on my MacBook Pro. At 1.6GB download, the experience is spectacular.

2 min read · [dragosroua.hashnode.dev](https://dragosroua.hashnode.dev/an-ai-model-in-your-browser-lfm3-omni-2-2b-on-a-16gb-mbp?utm_source=hashnode&utm_medium=feed)

[Vikram Kumar Shukla](https://hashnode.com/@vikramkumarshukla) · [Oct 28](https://hashnode.com/posts/one-backbone-six-small-models-what-liquid-ai-s-lfm3-actually-changes/6ae17c67582326df2343a0d0)

### [One backbone, six small models: what Liquid AI's LFM3 actually changes](https://vikramkumarshukla.hashnode.dev/one-backbone-six-small-models-what-liquid-ai-s-lfm3-actually-changes?utm_source=hashnode&utm_medium=feed)

One backbone, six small models: what Liquid AI's LFM3 actually changes Liquid AI announced LFM3 on 27 October 2026, and the part that stuck with me was not the parameter count. It was the shape of the

5 min read · [vikramkumarshukla.hashnode.dev](https://vikramkumarshukla.hashnode.dev/one-backbone-six-small-models-what-liquid-ai-s-lfm3-actually-changes?utm_source=hashnode&utm_medium=feed)

[Dragos Roua](https://hashnode.com/@dragosroua) · [Oct 8](https://hashnode.com/posts/video-running-liquid-ai-lfm-v2-5-on-my-16-gb-macbookpro/6ac75bcb44f199eebc2f60bd)

### [\[ Video \] Running Liquid AI LFM V2.5 on my 16 GB MacBookPro](https://dragosroua.hashnode.dev/video-running-liquid-ai-lfm-v2-5-on-my-16-gb-macbookpro?utm_source=hashnode&utm_medium=feed)

The 4th video in the series about what models can you realistically run on a 16GB MacoBook tests Liquid AI LFM 2.5. A solid model.

2 min read · [dragosroua.hashnode.dev](https://dragosroua.hashnode.dev/video-running-liquid-ai-lfm-v2-5-on-my-16-gb-macbookpro?utm_source=hashnode&utm_medium=feed)

[Manu Shukla](https://hashnode.com/@mr-manushukla) · [Aug 21](https://hashnode.com/posts/lfm25-dspark-ships-32x-on-an-h100-and-118x-on-a-macbook-the-20-august-2026-numbers-mobile-teams-shou/6a889f01b66fa1974421eb1e)

### [LFM2.5-DSpark ships 3.2x on an H100 and 1.18x on a MacBook: the 20 August 2026 numbers mobile teams should read](https://ecorpit.hashnode.dev/lfm25-dspark-ships-32x-on-an-h100-and-118x-on-a-macbook-the-20-august-2026-numbers-mobile-teams-shou?utm_source=hashnode&utm_medium=feed)

LFM2.5-DSpark ships 3.2x on an H100 and 1.18x on a MacBook: the 20 August 2026 numbers mobile teams should read Summary. Liquid AI published LFM2.5-DSpark on 20 August 2026: three speculative-decoding

14 min read · [ecorpit.hashnode.dev](https://ecorpit.hashnode.dev/lfm25-dspark-ships-32x-on-an-h100-and-118x-on-a-macbook-the-20-august-2026-numbers-mobile-teams-shou?utm_source=hashnode&utm_medium=feed)
