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Gemma 4 12B Instruct
◆ OPEN
by Google
OPEN WEIGHTSLOCALAPICLOSEDREASONING
RANKED #111 OF 230 ASSISTANTS · OVERALL #184 OF 6,596 · VIBE SCORE 5.9 · 66 VOICES
Google's Gemma 4 12B Instruct is an open-weight multimodal model for text, image, audio, and video understanding, with tool calling and structured output support.
HAPPY9.9
11 mentions
SAD5.1
6 mentions
VIBE TRAJECTORY
26 weeks · 80 voices
HOLDING UP
Recent vibe is steady. No clear fade in the crowd.
HOW TO USE IT
Open weights. You can use a hosted service, or download it and run it yourself, free.
RUN IT ON YOUR OWN MACHINE
Open weights: download Gemma 4 12B Instruct once and it's yours. No subscription, no rate limits, works offline.
12B parameters, a Q4_K_M quant is about 7.5 GB while full 16-bit is around 25 GB
- BARE MINIMUM
NVIDIA GeForce RTX 3060 12GB
12 GB VRAM
~$280 NEWQ4_K_M quant with full GPU offload and 8k context
- SWEET SPOT
NVIDIA GeForce RTX 4070 Ti SUPER 16GB
16 GB VRAM
~$799 NEWQ8_0 quant or Q4 with long context up to 32k
- FULL POWER
NVIDIA GeForce RTX 4090 24GB
24 GB VRAM
~$1750 NEWFull FP16 precision or Q8 with extended 64k+ context
LEARN HOW TO SET IT UP
WILL MY BOX RUN GEMMA 4 12B INSTRUCT?
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.
WHAT CAN YOU ACTUALLY DO WITH IT?
Everyday jobs on each of those rigs: how long Gemma 4 12B Instruct takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNVIDIA GeForce RTX 3060 12GB | SWEET SPOTNVIDIA GeForce RTX 4070 Ti SUPER 16GB | FULL POWERNVIDIA GeForce RTX 4090 24GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~18 S★★★★★ | ~8 S★★★★★ | ~5 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~54 S★★★★★ | ~23 S★★★★★ | ~16 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~4.8 MIN★★★★★ | ~2.1 MIN★★★★★ | ~84 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~15 MIN★★★★★ | ~6.4 MIN★★★★★ | ~4.4 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~8.9 MIN★★★★★ | ~3.8 MIN★★★★★ | ~2.6 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.
WHAT THE INTERNET SAYS
People are mostly frustrated with Gemma 4 12B Instruct right now.
50 POSTS · 16 COMMENTS · GITHUB · REDDIT · HACKER NEWS · DEV FORUMS
PEOPLE LOVE
- No fan mail yet. The crowd is still warming up.
PEOPLE COMPLAIN ABOUT
- Refuses or lectures more than people like (6 mentions)
TOPIC BY TOPIC
- Saying no too muchA SORE SPOT
0 thumbs up · 6 thumbs down
LOOKING FOR AN ALTERNATIVE?
Other models the crowd has fully reviewed, starting with multimodal models like this one.
Grok 4.6
Qwen3.8 27B> SOURCES (12)
- REDDIT · 2026-07-15 · 1821 UPVOTESThe best model is the one you can actually run
The best model is the one you can actually run
- REDDIT · 2026-07-06 · 209 UPVOTESI told Gemma 4 12B (Q8_0, no cache quant) to write a single-file 3D bowling simulator in WebGL. It's terrible, but honestly better than I…
I told Gemma 4 12B (Q8_0, no cache quant) to write a single-file 3D bowling simulator in WebGL. It's terrible, but honestly better than I expected.
- REDDIT · 2026-08-12 · 172 UPVOTESMiniMax H3 Prompt Writer v0.3 is out
MiniMax H3 Prompt Writer v0.3 is out
- REDDIT · 2026-07-08 · 132 UPVOTESDistilled DeepSeek into Gemma 4 26B-A4B vs 12B. Not very useful, but I learned a lot.
Distilled DeepSeek into Gemma 4 26B-A4B vs 12B. Not very useful, but I learned a lot.
- REDDIT · 2026-06-22 · 78 UPVOTESIs Gemma 4 going to be the next Mistral (or Qwen3.6) one day? Concerning the lack of finetunes
Is Gemma 4 going to be the next Mistral (or Qwen3.6) one day? Concerning the lack of finetunes
- REDDIT · 2026-08-13 · 66 UPVOTESGemma 4 12B Q3: +8.55% Coding Performance From Tensor-Level Quantization Allocation
Gemma 4 12B Q3: +8.55% Coding Performance From Tensor-Level Quantization Allocation
- REDDIT · 2026-06-12 · 46 UPVOTESGemma 4 Quadruple Release, 12B, 12B QAT, 26B-A4B QAT and 31B QAT Uncensored Heretics!
Gemma 4 Quadruple Release, 12B, 12B QAT, 26B-A4B QAT and 31B QAT Uncensored Heretics!
- REDDIT · 2026-06-04 · 27 UPVOTESGoogle drops Gemma 4 12B, calling it an state-of-the-art model
Google drops Gemma 4 12B, calling it an state-of-the-art model
- REDDIT · 2026-07-25 · 25 UPVOTESBenchmarks: TensorSharp vs. llama.cpp
Benchmarks: TensorSharp vs. llama.cpp
- REDDIT · 2026-07-13 · 23 UPVOTES[Study/Models] Flint: Compressing Reasoning Without Breaking It
[Study/Models] Flint: Compressing Reasoning Without Breaking It
- REDDIT · 2026-06-22 · 16 UPVOTESGemma4-12B-QAT Uncensored Balanced is out with MTP (~60% speed boost)!
Gemma4-12B-QAT Uncensored Balanced is out with MTP (~60% speed boost)!
- REDDIT · 2026-08-19 · 13 UPVOTESWuli-art/Gemma-4-for-Qwen-Image-Edit-2511-Prompt-Extend · Hugging Face
Wuli-art/Gemma-4-for-Qwen-Image-Edit-2511-Prompt-Extend · Hugging Face