LOADING DATASHEET
LOADING DATASHEET
by Google
RANKED #138 OF 316 ASSISTANTS · OVERALL #183 OF 493 RANKED · VIBE SCORE 5.0 · 159 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,...
17 mentions
6 mentions
26 weeks · 132 voices in this window
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 3 4B once and it's yours. No subscription, no rate limits, works offline.
4B parameters, a Q4 file is about 3 GB (BF16 is ~9 GB)
NVIDIA GeForce GTX 1660 Super
6 GB VRAM
~$120 USEDQ4 quantization, ~35 tok/s, 8k context
NVIDIA GeForce RTX 4060
8 GB VRAM
~$299 NEWQ8 quantization or Q4 with 32k+ context, ~70 tok/s
NVIDIA GeForce RTX 4070 Super
12 GB VRAM
~$599 NEWFull FP16 / BF16 precision, long context (128k), ~110 tok/s
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 4B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNVIDIA GeForce GTX 1660 Super | SWEET SPOTNVIDIA GeForce RTX 4060 | FULL POWERNVIDIA GeForce RTX 4070 Super |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~14 S★★★★★ | ~7 S★★★★★ | ~5 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~43 S★★★★★ | ~21 S★★★★★ | ~14 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~3.8 MIN★★★★★ | ~1.9 MIN★★★★★ | ~73 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~12 MIN★★★★★ | ~6 MIN★★★★★ | ~3.8 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~7.1 MIN★★★★★ | ~3.6 MIN★★★★★ | ~2.3 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.
People are mostly frustrated with Gemma 3 4B right now. Biggest gripe: saying no too much.
146 POSTS · 13 COMMENTS · GITHUB · DEV FORUMS · REDDIT · HACKER NEWS · BLUESKY · DEV.TO · LEMMY
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Other models the crowd has fully reviewed, starting with multimodal models like this one.
[R] LLMs are Locally Linear Mappings: Qwen 3, Gemma 3 and Llama 3 can be converted to exactly equivalent locally linear systems for interpretability
What local model blew you away recently?
Gemma 3 GRPO works in free Colab now
More Dynamic v2.0 GGUFs uploaded: Llama-4-Maverick, QwQ-32B, GLM-4-32B, Gemma-3-QAT, MAI-DS-R1 + more!
Find My Thingy: A Local-First AI Memory Assistant Powered by Gemma 3 4B
Why Gemma3-4b QAT from ollama website uses twice a much memory versus GGUF
Can I fine-tune Gemma-3-12B (full training run, not just inference) on a single RTX 3060 12 GB with Unsloth?
How to use bigger models
Choosing the right dataset format for dialogues
Would you trade speed for accuracy?
NeuralNet: 100% Local Autonomous AI Assistant. Features Dynamic GGUF Switching, Autonomous Deep Scraping, 50k Context, and Time-Zone Aware Execution.
"You are a teacher. Teach me about a random topic"