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  1. r/LocalLLaMACommunity

    Hugging Face model Spark-X2.6-4B, a compact on-device language model, is released

    Spark-X2.6-4B keeps the Spark-X2.5-4B architecture and gains from improved post-training, with three thinking levels (none, low, high). The developer claims it matches or beats models around 9B parameters on open-source benchmarks.

  2. r/LocalLLaMAConfirmed

    Gradium releases Phonon, open-source on-device text-to-speech models

    Gradium released Phonon, two small TTS models of 31M and 40M parameters, with a fully open-source inference stack targeting CPUs, GPUs and NPUs across 10+ backends, mostly written in Rust.

  3. r/LocalLLaMACommunity

    Ornith-1.5-122B, a Qwen-based finetune, released in GGUF and NVFP4 formats

    Ornith AI introduces Ornith-1.5, which continuously generates its own training tasks and improves through reinforcement learning, extending Ornith-1.0 built on Qwen3.5 and Gemma4. GGUF and NVFP4 builds are on Hugging Face, with more details in the company blog.