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Gemma 3 (27B)

Google's flagship multimodal. Image + text understanding at an exceptional level.

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Parameters
27B
Minimum RAM
32 GB
Model size
17 GB
Quantization
Q4_K_M

Can Gemma 3 (27B) run locally?

Gemma 3 (27B) is best suited for power-user machines with 32 GB RAM. LocalClaw recommends Q4_K_M as the default quantization, with at least 32 GB RAM.

Search term for LM Studio or compatible runtimes: gemma-3-27b-it

Hugging Face repository: lmstudio-community/gemma-3-27B-it-GGUF

chatvisionpowerqualitygeneral

Strengths

  • 128K context at 27B
  • Vision support
  • Top-tier quality for its size
  • Rivals much larger models

Limitations

  • Needs 24GB+ RAM
  • Gemma license restrictions

Best use cases

  • Professional content creation
  • Advanced reasoning
  • Research
  • Multimodal applications

Benchmarks

Speed: 4/10

Quality: 9/10

Coding: 8/10

Reasoning: 9/10

Technical details

Developer: Google DeepMind

License: Gemma License

Context window: 131,072 tokens

Architecture: Transformer with 128K context, vision support

Released: 2025-03

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