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LOADING DATASHEET
by Google
RANKED #202 OF 228 ASSISTANTS · OVERALL #312 OF 6,618 · VIBE SCORE 5.3 · 35 VOICES
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,...
5 mentions
2 mentions
26 weeks · 38 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 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.
Not enough discussion about Gemma 3 4B yet to call it. We found 35 posts but people did not say much either way.
30 POSTS · 5 COMMENTS · GITHUB · DEV FORUMS · REDDIT · LEMMY
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
Why Gemma3-4b QAT from ollama website uses twice a much memory versus GGUF
How to use bigger models
A “QuitGPT” campaign is urging people to cancel their ChatGPT subscriptions— Backlash against ICE is fueling a broader movement against AI companies’ ties to President Trump.
Found this list from an api call. Is there any unreleased models/suprises?
Would you trade speed for accuracy?
Temp fix EOF with image attachments
Need help estimating deployment cost for custom fine-tuned Gemma 3 4B IT (self-hosted)
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"
What happens when you give Claude access to Nuclear Weapons?
Refresh DGX Spark data: 10 → 94 rows from Spark Arena and llama.cpp