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𓀐 @kMtY6qp-: /lmg/ - a general dedicated to the discussion and development of local language models. News >(10/27) NVidia releases Nemotron 3.5 Transcribe 30B-A4B https://hf.co/nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B >(10/26) XHToken releases Spark-X2.6-1.7B: https://hf.co/XHToken/Spark-X2.6-1.7B >(10/26) LiquidAI releases LFM3 1.7B and 2B: https://hf.co/collections/LiquidAI/lfm3 >(10/26) Baidu Unlimited-OCR-2 3B released https://hf.co/baidu/Unlimited-OCR-2 >(10/23) NVIDIA Nemotron 3.5 Bolt E4B, postr…

This is a fascinating paper. It might explain why Gemma feels soulful... and also why you barely even need to jailbreak the model family because it's already so negative-coded. But interestingly, this paper is from February 2026, so it ostensibly could've been taken into account when training Gemma 4 already. >Having established that Gemma shows undesirable emotional instability [...]. [...] we observe that Gemma models shows the highest rates of negative emotional expression in all categories…

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