# Liquid AI — LFM2.5-24B-A2B > AI lab announcements, news reports and podcasts. forck.live follows what companies announce about their own products. Press may corroborate an official story; it never leads and never appears as an item of its own. A missing date stays missing. A title is the publisher's words — where a company does not publish in English, an English rendering is listed separately as `Title in English` and named as this site's translation, never as theirs. This file is the record of one model version: what the model registry states about it, Liquid AI's launch post, the first-party posts this record holds about it, the outlets that reported on those posts, and other companies' announcements that it runs on their platforms. A model ranks nothing here and nothing is composed: each date names whose it is, and a field nothing states is `not stated` rather than missing. - This model's page: https://forck.live/models/lfm-2-5-24b-a2b - Liquid AI's page: https://forck.live/company/liquid-ai - Every model: https://forck.live/models - Catalogue: https://forck.live/llms.txt ## Model - Name: LFM2.5-24B-A2B - Company: Liquid AI (liquid.ai) - Launch post: LFM2.5-24B-A2B: Built for Fast On-Device Agents — https://forck.live/items/20538-lfm2-5-24b-a2b-built-for-fast-on-device-agents - Announced: 2026-10-13 - Launch source: https://www.liquid.ai/blog/lfm2-5-24b-a2b - Launch chosen by: the earliest dated release post naming it - Released (per models.dev): not stated - Listed (per OpenRouter): 2026-10-13 - Open weights: not stated - Posts about it: 1 - Outlets named under its posts: 1 - OpenRouter id: liquid/lfm-2.5-24b-a2b — https://openrouter.ai/liquid/lfm-2.5-24b-a2b - Context window: 131,072 tokens — from https://forck.live/items/20538-lfm2-5-24b-a2b-built-for-fast-on-device-agents ## Posts about it _Liquid AI's own posts whose title names LFM2.5-24B-A2B, and its launch post, in the record's order: dated newest first, undated last. The record reads the newest 50 first-party posts mentioning the model, every company's together, so a model mentioned more often than that lists the newest of them._ Every entry is one first-party announcement, and carries the same eight fields in this order before any others: Company · Announced · Category · Coverage · Announcement · Group · Source · Record `Source` is the company's own page the announcement was traced to and `Record` is this site's page for it. Both are safe to cite. `Coverage` is a number of outlets, or `not counted` — which means this record reached no count of its own, never that nobody wrote about it. `Category` is this tracker's own analysis, and is authoritative wherever it is stated. `not stated` means either that nothing has analysed the post yet or that the analysis placed it outside this taxonomy; neither is a verdict about the announcement. `Announcement` is whether the post is news of something the company did, rather than a how-to, a customer story, a changelog listing or a staffing note. `Group` is which of this record's groups the entry falls in, carried on the entry itself so it holds where the groups are headings and where they are not. One of: `models`, `covered`, `announcements`, `routine`. Anything after `Record` is held detail that only some announcements carry. ### Liquid AI — LFM2.5-24B-A2B: Built for Fast On-Device Agents - Company: Liquid AI (liquid.ai) - Announced: 2026-10-13 - Category: new-model - Coverage: not counted - Announcement: yes - Group: models - Source: https://www.liquid.ai/blog/lfm2-5-24b-a2b - Record: https://forck.live/items/20538-lfm2-5-24b-a2b-built-for-fast-on-device-agents - Subject: LFM / d1 models Liquid AI released LFM2.5-24B-A2B, a 24B-parameter reasoning model with 2B active parameters, designed for fast, private on-device agents. The model is competitive with larger MoEs on agentic and tool-use benchmarks, scoring 48.09 on LiveClaw versus 38.19 and 27.69 on AutomationBench versus 8.72. It runs up to 1.7× faster than comparable MoEs on-device, achieving 184 tokens/s on an Apple M5 Max and over 21K output tokens/s on a single NVIDIA B300 GPU. ## Who reported on it _Outlets this record can name and link, under the first-party post each one covered. Their number is `Outlets named under its posts` above, and the rows are not totalled again. A post's own `Coverage` can be higher: it counts outlets the signal saw that this record cannot name and link._ ### On: LFM2.5-24B-A2B: Built for Fast On-Device Agents Record: https://forck.live/items/20538-lfm2-5-24b-a2b-built-for-fast-on-device-agents - Unite.AI — Liquid AI Releases Open-Weight LFM2.5-24B-A2B for On-Device Agents (2026-10-13T17:29:06+00:00): https://www.unite.ai/liquid-ai-releases-open-weight-lfm2-5-24b-a2b-for-on-device-agents/ --- Record: https://forck.live/models/lfm-2-5-24b-a2b Catalogue: https://forck.live/llms.txt Current issue: https://forck.live/feed.md