LOADING DATASHEET
LOADING DATASHEET
by Google
RANKED #23 OF 338 ASSISTANTS · OVERALL #35 OF 529 RANKED · VIBE SCORE 6.9 · 3,693 VOICES
COPY BADGE pastes a README snippet with the rank SVG.
A fast, downloadable Google AI model built mainly for programming help.
472 mentions
288 mentions
26 weeks · 4,373 voices
HOLDING UP
Recent vibe is steady. No clear fade in the crowd.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Gemma 4 26B A4B once and it's yours. No subscription, no rate limits, works offline.
25.2B parameters (MoE, 3.8B active), a Q4 file is about 14 to 17 GB
NVIDIA GeForce RTX 4060 Ti 16GB
16 GB VRAM
~$420 NEWQ4 quant (e.g., Q4_K_M or QAT Q4_0), ~30 tok/s, 8k context
NVIDIA GeForce RTX 3090 24GB
24 GB VRAM
~$700 USEDQ8 or Q5 quant, ~100 tok/s, 32k context
Apple Mac Studio M2 Max (64GB)
64 GB UNIFIED MEMORY
~$1700 USEDUnquantized BF16 or Q8, ~35 tok/s, full 128k context
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long Gemma 4 26B A4B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNVIDIA GeForce RTX 4060 Ti 16GB | SWEET SPOTNVIDIA GeForce RTX 3090 24GB | FULL POWERApple Mac Studio M2 Max (64GB) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~17 S★★★★★ | ~5 S★★★★★ | ~14 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~50 S★★★★★ | ~15 S★★★★★ | ~43 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~4.4 MIN★★★★★ | ~80 S★★★★★ | ~3.8 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~14 MIN★★★★★ | ~4.2 MIN★★★★★ | ~12 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~8.3 MIN★★★★★ | ~2.5 MIN★★★★★ | ~7.1 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
Gemma 4 26B A4B delivers quick coding assistance, but users dislike its robotic writing style, frequent refusals, and overall cost.
2589 POSTS · 1104 COMMENTS · REDDIT · BLUESKY · HACKER NEWS · X · GITHUB · LEMMY · DEV FORUMS · DEV.TO · BLOG
0 thumbs up · 52 thumbs down
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Checked picks first: tags say why you would switch, stars say how fully each one stands in for Gemma 4 26B A4B.
Quick tip: download the open models you care about from Hugging Face as soon as you can. You never know what the next fe
Running a 31B model locally made me realize how insane LLM infra actually is
Google releases new Gemma 4 QAT models!
Google is updating Gemma 4's chat templates, bringing major fixes to tool calling and reducing "laziness", and enabling Flash Attention 4 on Hopper GPUs, plus an interactive guide on how to work with and improve its vision!
Introducing Unsloth for AMD
Gemma 4 12B is out now!
Local AI News You Missed - May 2026
Google releases Gemma 4 models.
Google Gemma 4 MTP out now!
Google just dropped Gemma 4 12B on your laptop!!
Muse Glimmer ACTUALLY fits on a single RTX 3090
1 Day in and I feel okay saying Muse-Glimmer-30B finally beats 3.6-27B for the size in some use-cases