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LFM2.5-2.6B model runs on OnePlus 13 CPU at 17 tokens/sec

A user has successfully run the LFM2.5-2.6B language model on a OnePlus 13 smartphone using only the device's CPU. The model, which features 2.69 billion parameters and a 128K context window, achieved a speed of 17 tokens per second. The user developed a custom inference engine, which is only 450kb in size and supports various other model architectures, and is aiming to increase the processing speed to 30 tokens per second. AI

IMPACT Demonstrates the feasibility of running sophisticated LLMs on mobile hardware with custom inference engines.

RANK_REASON User-developed inference engine running a specific LLM on a mobile device.

Read on r/LocalLLaMA →

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

LFM2.5-2.6B model runs on OnePlus 13 CPU at 17 tokens/sec

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User-developed inference engine running a specific LLM on a mobile device.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
63 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/trikboomie ·

    LFM2.5-2.6B on a OnePlus 13 at 17 tok/s ~ Pure CPU

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vg8qfv/lfm2526b_on_a_oneplus_13_at_17_toks_pure_cpu/"> <img alt="LFM2.5-2.6B on a OnePlus 13 at 17 tok/s ~ Pure CPU" src="https://preview.redd.it/oeyr9vuhfkhh1.gif?width=640&amp;crop=smart&amp;s=e37a0906f0628…