LiquidAI LFM2.5 Models Tested – Micro Vision and Speech-to-Speech!

Timestamps:

00:00 - Intro
01:10 - Model Overview
02:25 - Audio Model Overview
02:50 - Prof. Bijan on Speech Models
03:51 - Voice Chat Model Testing
07:14 - Vision Model Testing
08:01 - VLM Circuit Diagram Test
08:44 - VLM YouTube Scathing Critique Test
10:32 - VLM OCR Test
10:56 - VLM Car Identification Test
11:37 - VLM Detailed Analysis Test
12:23 - Instruct Model Testing
12:37 - Instruct Model Tool Calling
13:25 - Instruct Model Chat Testing
14:11 - Instruct Model Movie Riddle
14:59 - Instruct Model Random Chatting
15:28 - Instruct Model Browser OS Test
16:01 - Instruct Model Roleplay Test
16:21 - Voice Chat Model Conversation Testing
19:25 - Voice Model VRAM Mention
20:50 - Closing Thoughts

AI Integration & Consulting https://bijanbowen.com
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In this video, we take a hands-on look at the Liquid AI LFM2.5 model lineup, including their micro-vision, instruction, and speech-to-speech models. This release focuses on efficient multimodal capability, combining vision understanding, native audio interaction, and tool-calling within compact model architectures.

We begin with an overview of the models, then move into real-world testing across voice conversations, vision-language tasks, OCR, diagram analysis, object identification, and detailed visual reasoning. We also explore the instruction model’s tool-calling behavior, browser-based OS interactions, roleplay, and general chat performance.

HF Link: https://huggingface.co/LiquidAI