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LFM3

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Headlines · 5

  1. Private Mind adds offline LFM3 inference on iOS and Android

    The developer of the open-source Private Mind app reports that it now runs LFM3 models fully offline on iOS and Android, including the LFM3-VL-2B vision model. They also published ExecuTorch exports for LFM3 and reported iPhone 16 Pro results of about 40 tokens per second for 4-bit LFM3-1.7B, versus about 20 tokens per second for LFM3-VL-2B after an approximately nine-second first-token delay. The exports use MLX for Apple GPUs and XNNPACK for mobile CPUs, with reported model sizes of 1.07 GB and 1.17 GB respectively.

    r/LocalLLaMA · 🔥 2
  2. Ollama v0.40.13 expands LFM3 support and patches Metal crash

    Ollama v0.40.13 brings Liquid AI's LFM3 models, including lfm3-audio and lfm3-omni, to Linux and Windows in addition to Apple silicon. The release also includes LFM3 GGUF fixes, llama-server speech changes, and a llama.cpp bump to b11963. A v0.40.13-rc1 tag added a temporary workaround for a Metal unary-library crash regression on older macOS versions.

    Ollama Releases · 🔥 0
  3. llama.cpp PR enables LFM3 video input support

    Pull request #31283 in the ggml-org/llama.cpp repository, submitted by tdakhran, is titled “mtmd: enable video input support for LFM3 model family.” A Reddit post accompanying the link says, “now you can show your videos to tiny LFM3 models.” The supplied report does not say whether the pull request was merged or provide independent tests, benchmarks, or model-quality results.

    r/LocalLLaMA · 🔥 0
  4. Liquid AI Releases the Open-Weight LFM3 Multimodal Model Family

    Liquid AI released LFM3, a family of six models in the roughly 2B-parameter range covering text, vision, audio, omni, and decision tasks on a shared hybrid backbone. The models were pretrained on 22T tokens, and the base and post-trained weights are available through Hugging Face, Liquid AI Playground, and the Liquid AI API. Liquid AI says LFM3-1.7B uses 35% fewer parameters than LFM2.5-2.6B, occupies about 1 GB at 4-bit precision, and supports a 256K-token context window.

    Liquid AI Blog · 🔥 0
  5. Ollama v0.40.12 adds support for Liquid AI LFM3 and d1 models

    Ollama v0.40.12 adds support for Liquid AI’s LFM3 family and 2B d1 decision models. The release notes describe lfm3 as a 1.7B text model with a 256K-token context window, lfm3-vl as adding image understanding, lfm3-audio as supporting speech recognition, translation and text-to-speech in 18 languages, and lfm3-omni as combining text, images and audio. The d1 models make decisions about text and images, while d1-omni adds audio. The release notes state that lfm3 and d1 2b are supported on Apple hardware, with Linux and Windows support described as coming soon.

    Ollama Releases · 🔥 0

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