LFM2.5-350M
Released by LiquidAI in 2026, LFM2.5-350M is an chat model. LFM2.5-350M is an open-weights chat model.
by LiquidAI
Best for
Ways to use LFM2.5-350M in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your LiquidAI API key. osFoundry discovers LFM2.5-350M automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
LFM2.5-350M is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
LFM2.5-350M vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about LFM2.5-350M
Is LFM2.5-350M free to use?
LFM2.5-350M is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use LFM2.5-350M commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run LFM2.5-350M locally?
Yes. LFM2.5-350M is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is LFM2.5-350M best at?
LFM2.5-350M is well-suited to text generation.
How do I use LFM2.5-350M in osFoundry?
Paste your LiquidAI API key in the key dialog (or deploy the open weights for self-hostable models), assign LFM2.5-350M to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by LiquidAI on March 31, 2026. Source: https://huggingface.co/LiquidAI/LFM2.5-350M