LocalClaw/LLM/Gemma 3 (27B)
Open-weight local LLM

Gemma 3 (27B)

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

32 GB power user 32 GB RAM Q4_K_M Professional content creation
Run with LocalClaw Compare all models
Parameters
27B
Minimum RAM
32 GB
Model size
17 GB
Quantization
Q4_K_M

Can Gemma 3 (27B) run locally?

Gemma 3 (27B) belongs on 32 GB machines when you want stronger quality without jumping to server hardware.

Search for gemma-3-27b-it in LM Studio or another GGUF-compatible runtime.

lmstudio-community/gemma-3-27B-it-GGUF
chatvisionpowerqualitygeneral

Install path

01
Check RAM fitMinimum 32 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch gemma-3-27b-it in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

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

Capability profile

speed
4
quality
9
coding
8
reasoning
9

Technical notes

Developer
Google DeepMind
License
Gemma License
Context window
131,072 tokens
Architecture
Transformer with 128K context, vision support

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Comfortable headroomMac mini M4 Pro 48GBMobile workstationMacBook Pro M4 Max 36GBPower-user picks32GB RAM guide

Similar models to compare

Qwen 3 (32B) 32BGemma 2 (27B) 27BMistral Small (24B) 24B

Where to go next