LOADING DATASHEET
LOADING DATASHEET
by Google
RANKED #119 OF 316 ASSISTANTS · OVERALL #156 OF 493 RANKED · VIBE SCORE 5.5 · 210 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
22 mentions
22 mentions
26 weeks · 102 voices in this window
HONEYMOON FADING
Early praise is cooling off in recent weeks.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Gemma 3 27B once and it's yours. No subscription, no rate limits, works offline.
27B parameters, a Q4 file is about 16 to 17 GB
NVIDIA GeForce RTX 3060 12GB plus 32GB system RAM
12 GB VRAM + 32 GB RAM
~$220 USEDQ4_K_M partial GPU offload, ~3 tok/s, 8k context
NVIDIA GeForce RTX 3090 24GB
24 GB VRAM
~$650 USEDQ4_K_M fully in VRAM, ~18 tok/s, 16k context
Apple Mac Studio M2 Ultra (64GB)
64 GB UNIFIED MEMORY
~$2999 NEWQ8_0 or full precision FP16, ~22 tok/s, 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 3 27B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNVIDIA GeForce RTX 3060 12GB plus 32GB system RAM | SWEET SPOTNVIDIA GeForce RTX 3090 24GB | FULL POWERApple Mac Studio M2 Ultra (64GB) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~2.8 MIN★★★★★ | ~28 S★★★★★ | ~23 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~8.3 MIN★★★★★ | ~83 S★★★★★ | ~68 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~44 MIN★★★★★ | ~7.4 MIN★★★★★ | ~6.1 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~2.3 HR★★★★★ | ~23 MIN★★★★★ | ~19 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~83 MIN★★★★★ | ~14 MIN★★★★★ | ~11 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.
The internet is split on Gemma 3 27B. Biggest praise: speed. Biggest gripe: price.
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“Mistral Small 3.1 Mistral Small 3.1 24B , which was released in March shortly after Gemma 3, is noteworthy for outperforming Gemma 3 27B on several benchmarks (except for math) while being faster.”
Checked picks first: tags say why you would switch, stars say how fully each one stands in for Gemma 3 27B.
Best models under 16GB
SillyTavern 1.12.13
What local model blew you away recently?
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From DeepSeek R1 to MiniMax-M2, the largest and most capable open-weight LLMs today remain autoregressive decoder-style transformers, which are built on flavors of the original multi-head attention mechanism. However, we have also seen alternatives to…
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When a translation model starts solving the problem instead of translating it (small rant)
What LLM is best for RP/ERP?