DiffusionGemma Unpacked: How Google’s Fast Diffusion LLM Works
Google’s new 26‑billion‑parameter diffusion language model, DiffusionGemma, claims up to four‑times speed gains over Gemma 4. This blog post rebuilds the model from its open weights, detailing the architecture, self‑conditioning, sampling tricks, and hidden design choices like partial RoPE and scalar QK norm, giving developers a practical roadmap.