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LOADING DATASHEET
by Google
RANKED #163 OF 232 ASSISTANTS · OVERALL #258 OF 6,586 · VIBE SCORE 5.6 · 32 VOICES
Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of...
4 mentions
3 mentions
26 weeks · 16 voices
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 2 27B once and it's yours. No subscription, no rate limits, works offline.
27B parameters, a Q4_K_M GGUF file is about 16 to 17 GB
NVIDIA GeForce RTX 4060 Ti 16GB
16 GB VRAM WITH 32 GB SYSTEM RAM
~$450 NEWIQ3_M to Q3_K quant with partial CPU offload, ~8 tok/s, 8k context
NVIDIA GeForce RTX 3090 24GB
24 GB VRAM
~$700 USEDQ4_K_M, ~18 tok/s, full 8k context fully in VRAM
Apple Mac Studio M2 Ultra (64GB unified memory)
64 GB UNIFIED MEMORY
~$2800 USEDQ8_0 or FP16 unquantized, ~22 tok/s, full 8k 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 2 27B 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 Ultra (64GB unified memory) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~63 S★★★★★ | ~28 S★★★★★ | ~23 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~3.1 MIN★★★★★ | ~83 S★★★★★ | ~68 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~17 MIN★★★★★ | ~7.4 MIN★★★★★ | ~6.1 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~52 MIN★★★★★ | ~23 MIN★★★★★ | ~19 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~31 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.
Not enough discussion about Gemma 2 27B yet to call it. We found 32 posts but people did not say much either way.
27 POSTS · 5 COMMENTS · REDDIT · BLOG · GITHUB
Other models the crowd has fully reviewed, starting with text models like this one.
Google released ultra lightweight Gemma 2 models, the 27B one surpasses llama3 70B and 9B variant surpasses Claude 3 Haiku
Local Productivity Stack with Ollama
Seeing the Emotion Vectors Visualized in Gemma 2 2B
Advanced Chunking/Retrieving Strategies for Legal Documents
Comparison: Llama 3.2 vs Gemma 2 vs Mistral
Google released PaliGemma 2, new open vision language models based on Gemma 2 in 3B, 10B, 28B
OpenAI just released their new open-weight LLMs this week: gpt-oss-120b and gpt-oss-20b, their first open-weight models since GPT-2 in 2019. And yes, thanks to some clever optimizations, they can run locally (but more about this later). This is the first time…
Last updated: Apr 2, 2026 (added Gemma 4 in section 23) It has been seven years since the original GPT architecture was developed. At first glance, looking back at GPT-2 (2019) and forward to DeepSeek V3 and Llama 4 (2024-2025), one might be surprised at how…
Google releases Gemma 2 2B, ShieldGemma and Gemma Scope
Introducing SmolLM2: The strongest 1B model and matching models twice the size such as Gemma-2, Qwen2.5 or Llama3.2. It's fully open.
Comment in r/StableDiffusion
Gemma 2 now being tested in AI Studio