Who's Who of AI

Google Gemma

495 trust @googlegemma · 95,823 followers
Why they matter

Tracked through public AI activity and peer connections inside the directory.

AI signals
6
past 30d
Sources
5
distinct domains
Discussions
0
past 30d
Latest signal
9d ago
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What they're sharing

Articles & links

Link to tech report: https://t.co/g710KPO6UR

DiffusionGemma Technical Report arxiv.org
AI Weekly's analysis →
  • DiffusionGemma reportedly generates around 1,500 output tokens per second on a single NVIDIA H100 by refining blocks of 256 tokens in parallel.
  • The model is a fine-tune of the mixture-of-experts Gemma 4 base, which has 3.8B activated and 25.2B total parameters.
  • Its two-stage training pipeline of supervised denoising plus RL with sampler distillation used less than 10% of the original AR model's token budget.
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View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 4 from the directory shared this · 48d ago

Original post by @elliotarledge https://t.co/q9KnOlDAgO Resources: - GitHub Repo: https://t.co/UndyYJ2CqK - Gemma 4 (MLX): https://t.co/ALKU8ijMNm

mlx-community/gemma-4-e2b-it-4bit · Hugging Face huggingface.co
AI Weekly's analysis →
  • A 4-bit MLX conversion of Google's Gemma 4 E2B-it vision model fits into a 3.55 GB file targeting Apple silicon.
  • The listing reports 38,478 downloads in the last month and ships under Google's Gemma license, not Apache 2.0.
  • The card exposes the model as image-text-to-text, invoked through mlx_vlm.generate with a prompt and image path.
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View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 33d ago

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