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Liquid AI ships 8B MoE model with 128K context for on-device tool use

Liquid AI has released LFM2.5-8B-A1B, an 8-billion parameter Mixture-of-Experts model designed for efficient on-device tool calling. This new version significantly expands the context window to 128,000 tokens and scales pretraining to 38 trillion tokens, improving its ability to process long documents and reason over extended tasks. The model also features an expanded vocabulary for better non-Latin language tokenization and is optimized for high throughput on consumer hardware, supporting various inference engines. AI

IMPACT Enables more capable on-device AI applications by improving reasoning and context handling for consumer hardware.

RANK_REASON New model release from a frontier lab. [lever_c_demoted from frontier_release: ic=2 ai=1.0]

Read on Hacker News — AI stories ≥50 points →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. Hacker News — AI stories ≥50 points TIER_1 English(EN) · simjnd ·

    Liquid AI reveals 8B-A1B MoE trained on 38T

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Liquid AI reveals 8B-A1B MoE trained on 38T https://www. liquid.ai/blog/lfm2-5-8b-a1b # ai

    Liquid AI reveals 8B-A1B MoE trained on 38T https://www. liquid.ai/blog/lfm2-5-8b-a1b # ai