Gemma 4
Since Monday, September 21 · updated 12 days ago · 6 pieces from 3 sources, in the order they came out.
4 news · 1 release · 1 analysis
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From the start
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Understand the Gemma 4 model family
Learn about the Gemma 4 family of multimodal open source language models from Google. Google DeepMind’s Maarten Grootendorst walks through all five model sizes across four architectures, from the efficient E2B and E4B mo…
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Gemma 4 12B: The encoder-free model explained
Learn what makes Gemma 4 12B, Google's encoder-free open source language model, unique in the Gemma 4 family. Google DeepMind’s Maarten Grootendorst explains how it processes audio and image inputs without encoders. Subs…
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Per-Layer Embeddings (PLE) in Gemma 4 explained
Learn how per-layer embeddings, or PLE, work in Gemma 4 E2B and E4B, Google's open source language model. Google DeepMind’s Maarten Grootendorst breaks down how PLE gives each token a layer-specific embedding for more di…
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Building with Gemma 4
Gemma 4 is the most capable model family you can run on your hardware. They complement our Gemini models, giving our developer community the industry's most powerful combination of both open and proprietary tools. Watch…
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Ollama 0.40.12: mlx, preserve small-image detail for compact Gemma 4 vision towers by @dhiltgen in #19247
What's Changed mlx: preserve small-image detail for compact Gemma 4 vision towers by @dhiltgen in #19247 MLX, MLX-C: version bump - prompt speed up for gemma/flint/laguna by @dhiltgen in #19291 mlx: add DFlash2 support b…
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DigitalOcean Serverless Inference latency: p50, p95 and p99 TTFT for GLM-5.3, DeepSeek V3.2, Gemma 4 and Llama 4 Maverick (3,456 requests, 48 hours)
p50, p95 and p99 TTFT and tokens per second for GLM-5.3, DeepSeek V3.2, Gemma 4 and Llama 4 Maverick on DigitalOcean Serverless Inference, over 48 hours.
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