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Active Channel ⚡ Dev.to Engineering
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What was your win this week?!
⚡ Dev.to Engineering
🕔 Oct 16, 2026 - 21:00

What was your win this week?!

👋👋👋👋 Looking back on your week -- what was something you're proud of? All wins count -- big or small...

Do Drafters Work on Small Models? Gemma 4 E2B and E4B on Two Small GPUs
⚡ Dev.to Engineering
🕔 Oct 17, 2026 - 01:30

Do Drafters Work on Small Models? Gemma 4 E2B and E4B on Two Small GPUs

Yes. Speculative decoding with Google's 59 MB QAT multi-token prediction (MTP) drafters speeds up Gemma 4 E4B 1.72x and E2B 1.40x on an 8 GB RTX 3050, and 1.49x and 1.18x on a 4 GB laptop GTX 1650 Ti, served by llama.cpp one request at a time, with unchanged GSM8K and BFCL scores.

Design for Churn
⚡ Dev.to Engineering
🕔 Oct 14, 2026 - 20:03

Design for Churn

The biggest design shift of the AI era isn’t about who writes the code. It’s about how long the code...

A World Worth Understanding
⚡ Dev.to Engineering
🕔 Oct 12, 2026 - 03:43

A World Worth Understanding

We think the people who make software are endlessly interesting. We want to meet them, hear their...

💅 Keyboard Makeover
⚡ Dev.to Engineering
🕔 Oct 11, 2026 - 10:25

💅 Keyboard Makeover

I have had this interesting piece of psychedelic looking vinyl for some time. Today I finally found a...

Small Apache-2.0 Models Against Gemma 4 E2B on One TPU v5e: Which Ones Keep Up?
⚡ Dev.to Engineering
🕔 Oct 13, 2026 - 08:57

Small Apache-2.0 Models Against Gemma 4 E2B on One TPU v5e: Which Ones Keep Up?

Fourteen Apache-2.0 and MIT open-weight models that fit one TPU v5e chip, served one after another through vLLM on the same pinned image and scored on GSM8K and BFCL against Gemma 4 E2B. Qwen3-4B matches Gemma's accuracy at 0.57x its output, SmolLM3-3B and Granite 3.3 2B match it on tool calls, and Gemma keeps the lead on long prompts.

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