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日本語(JA) スマホで動く小型AIモデル「LFM2.5」に省メモリ化を施しつつ性能低下を抑えたQAD版が登場 https:// fed.brid.gy/r/https://gigazine .net/news/20260820-lfm2-5-qad/

Liquid AI releases QAD versions of LFM2.5 models for efficient edge deployment

By PulseAugur Editorial · [1 sources] ·

Liquid AI has released a Quantization-Aware Distillation (QAD) version of its LFM2.5 series of small AI models. This new version is designed to reduce memory usage while minimizing performance degradation, making the models more suitable for low-spec devices like smartphones and laptops. The QAD technique involves distilling a high-accuracy teacher model to improve the performance of a quantized student model. Four LFM2.5 models (230M, 350M, 1.2B-Instruct, and 2.6B) have received this QAD treatment and are available as open models. AI

IMPACT Enables more efficient deployment of AI models on resource-constrained edge devices.

RANK_REASON Release of new quantized AI model versions with performance benchmarks. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Liquid AI releases QAD versions of LFM2.5 models for efficient edge deployment

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Release of new quantized AI model versions with performance benchmarks. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 日本語(JA) · [email protected] ·

    A QAD version of the small AI model "LFM2.5" that runs on smartphones has appeared, with memory reduction while suppressing performance degradation

    スマホで動く小型AIモデル「LFM2.5」に省メモリ化を施しつつ性能低下を抑えたQAD版が登場 https:// fed.brid.gy/r/https://gigazine .net/news/20260820-lfm2-5-qad/

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