Multimodal AI to forecast arrhythmic death in hypertrophic cardiomyopathy - Nature
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9SNDQ4ZDk2Um03N05Ud1FsV0dBQ0YyWmZRTXJwaFVfbVJXdXVyVFZXZE0xSXk5RkFSRXljcTBicWtWcG1lMmNxTHJQUUY5TTdBLWZLUEd3eklWZlVacHhB?oc=5" target="_blank">Multimodal AI to forecast arrhythmic death in hypertrophic cardiomyopathy</a> <font color="#6f6f6f">Nature</font>
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A Quick Note on Gemma 4 Image Settings in Llama.cpp
In my last post, I mentioned using --image-min-tokens to increase the quality of image responses from Qwen3.5 . I went to load Gemma 4 the same way, and hit an error: [58175] srv process_chun: processing image... [58175] encoding image slice... [58175] image slice encoded in 7490 ms [58175] decoding image batch 1/2, n_tokens_batch = 2048 [58175] /Users/socg/llama.cpp-b8639/src/llama-context.cpp:1597: GGML_ASSERT((cparams.causal_attn || cparams.n_ubatch > = n_tokens_all ) "non-causal attention requires n_ubatch >= n_tokens" ) failed [58175] WARNING: Using native backtrace. Set GGML_BACKTRACE_LLDB for more info. [58175] WARNING: GGML_BACKTRACE_LLDB may cause native MacOS Terminal.app to crash. [58175] See: https://github.com/ggml-org/llama.cpp/pull/17869 [58175] 0 libggml-base.0.9.11.dylib 0
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