@noctus91: I recently switched from Qwen 3.5 9B to LFM2.5-8B-A1B by @liquidai, and it's quickly become my default local model in H…

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Summary

A user shares their positive experience switching from Qwen 3.5 9B to Liquid AI's new LFM2.5-8B-A1B model, praising its speed and reliability for agentic tasks while noting coding remains a weakness. The model is an 8B MoE with 1.5B active parameters and 128K context, optimized for devices and server-side use.

I recently switched from Qwen 3.5 9B to LFM2.5-8B-A1B by @liquidai, and it's quickly become my default local model in Hermes Agent Desktop. For agentic tasks, it's one of the strongest local models I've used so far. It's surprisingly fast, reliable, and works really well with tools. Coding is still where it struggles the most. Other than that, it's been consistently solid and easily one of my favorite local models right now.
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Cached at: 06/10/26, 09:58 PM

I recently switched from Qwen 3.5 9B to LFM2.5-8B-A1B by @liquidai, and it’s quickly become my default local model in Hermes Agent Desktop.

For agentic tasks, it’s one of the strongest local models I’ve used so far. It’s surprisingly fast, reliable, and works really well with tools.

Coding is still where it struggles the most.

Other than that, it’s been consistently solid and easily one of my favorite local models right now.

Liquid AI (@liquidai): Today, we’re releasing LFM2.5-8B-A1B, a device-optimized model designed to power real-life applications on phones, laptops, PCs, robots, and fast & lightweight server-side use-cases.

> 8B MoE, 1.5B active > Expanded 128K context > LFM2.5 flagship hybrid MoE architecture >

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