Gemma 3 27B
Google's open multimodal 27B. Vision + language in one model.
Task Fit
Not marked for code agent in the current library.
Code generation, debugging, refactoring, and benchmark signal.
General writing, Q&A, and assistant use.
Not marked for rag in the current library.
Image or visual understanding, not necessarily image generation.
Not marked for image generation in the current library.
Not marked for video generation in the current library.
Not marked for voice in the current library.
Source Confidence
Variants and Quant Artifacts
Choose the artifact first; hardware fit follows from RAM, VRAM, format, and runtime.
| Quant | Format | Quality | Min RAM | Reco RAM | Runtime | Action |
|---|---|---|---|---|---|---|
| Q4_K_M | gguf | balanced | 20GB | 40GB | ollama, llama.cpp, lm-studio | Plan with this |
| Q5_K_M | gguf | balanced | 21GB | 40GB | ollama, llama.cpp, lm-studio | Plan with this |
| Q8_0 | gguf | high | 32GB | 40GB | ollama, llama.cpp, lm-studio | Plan with this |
Recommended Hardware
Lowest estimated 5-year cost that can run this model.
Plenty of fast-memory headroom for this model.
Highest local performance signal among compatible hardware.
Benchmarks
Source and Review
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