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LiquidAI releases LFM3-1.7B model for edge devices

By PulseAugur Editorial · [2 sources] ·

LiquidAI has released LFM3-1.7B, a compact language model designed for edge devices and specialized applications. This model, optimized for 4-bit precision to fit within 1GB of memory, supports a 256K-token context window and is post-trained for agentic harnesses like Hermes Agent and Raspberry Pi. It is intended for tasks such as tool calling and structured outputs, with guidance provided for integration via libraries like Transformers, vLLM, and SGLang, as well as Docker. AI

IMPACT This compact model could enable more sophisticated AI applications on edge devices and specialized local agents.

RANK_REASON The cluster describes the release and technical details of a specific AI model, including instructions for its use with various tools and libraries.

Read on Hugging Face Daily Papers →

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

LiquidAI releases LFM3-1.7B model for edge devices

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COVERAGE [2]

  1. Hugging Face Trending Models TIER_1 Français(FR) · LiquidAI ·

    LiquidAI/LFM3-1.7B

    text-generation · 6,311 downloads · 105 likes

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Metric Conformal Prediction via the Conditional Expected Local Radius

    We introduce the conditional expected local radius (CELR) and develop a new conformal prediction method for non-Euclidean responses in general metric spaces. CELR measures local conditional probability concentration, allowing prediction sets to accommodate heterogeneity and multi…

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