Adding E4B audio encoder to larger models

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s5ardk/i_compressed_all_2023_state_of_the_art_into_an/"> <img alt="I compressed all 2023 State of the Art

<!-- SC_OFF --><div class="md"><p>&#x200b;</p> <p>## Abstract</p> <p>Post-training makes language models more decisive without necessarily making them more accurate — and we find

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s59rct/rys_part_3_llms_think_in_geometry_not_language/"> <img alt="RYS Part 3: LLMs think in geometry, not

<!-- SC_OFF --><div class="md"><p>I'm curious about Gemma 4 12b's audio capabilities and trying to think of some use cases that the new architecture enables. Has anyone here built

<!-- SC_OFF --><div class="md"><p>Long time Claude Opus user, but after the recent session limit changes by Anthropic, I am seriously considering trying Chinese models for coding.

<!-- SC_OFF --><div class="md"><p>I’ve been working on an educational implementation repo for speculative decoding:</p> <p><a

<!-- SC_OFF --><div class="md"><p>Hi,</p> <p>has anybody succeeded in running llama.cpp with Gemma 31b dense and Gemma e4b as draft model, and simultaneously inhibit the voice

<!-- SC_OFF --><div class="md"><p>is it possible that a moe model can decide how many billion parameters to activate per token according to the task. eg if qwen 3.6 35b a3b - if a