Gemma 4 E4B-it converted to MLX (Apple Silicon)

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sarlb8/gemma_4_running_on_raspberry_pi5/"> <img alt="Gemma 4 running on Raspberry Pi5"

<!-- SC_OFF --><div class="md"><p>In case you haven't heard, Google just released Multi Token Prediction drafters for Gemma 4, a speculative decoding approach that pairs the main

<!-- SC_OFF --><div class="md"><p><a href="https://huggingface.co/unsloth/gemma-4-E2B-it-GGUF">https://huggingface.co/unsloth/gemma-4-E2B-it-GGUF</a></p> <p><a

<!-- SC_OFF --><div class="md"><p><a href="https://huggingface.co/z-lab/gemma-4-31B-it-DFlash">https://huggingface.co/z-lab/gemma-4-31B-it-DFlash</a></p> <p>I guess we'll have to

<!-- SC_OFF --><div class="md"><p>I’ve been experimenting with running LLMs fully on-device, and managed to get Gemma 4 running locally on an iPhone 13 Pro.</p> <p>This is built

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1saqroc/gemma_4_running_locally_in_your_browser_with/"> <img alt="Gemma 4 running locally in your browser

<!-- SC_OFF --><div class="md"><p><a href="https://huggingface.co/google/gemma-4-31B-it-assistant">https://huggingface.co/google/gemma-4-31B-it-assistant</a></p> <p><a

<!-- SC_OFF --><div class="md"><p>Google DeepMind dropped Gemma 4 today:</p> <p><strong>Gemma 4 31B:</strong> dense, 256K context, redesigned architecture targeting efficiency and