LocalClaw/LLM/Gemma 4 31B
Open-weight local LLM

Gemma 4 31B

Largest Gemma 4 model for premium local quality. Strong coding and reasoning with 256K context and broad multilingual support. Apache 2.0.

32 GB power user 32 GB RAM Q4_K_M Premium local assistant
Run with LocalClaw Compare all models
Parameters
31B
Minimum RAM
32 GB
Model size
19 GB
Quantization
Q4_K_M

Can Gemma 4 31B run locally?

Gemma 4 31B belongs on 32 GB machines when you want stronger quality without jumping to server hardware.

Search for gemma-4-31b-it in LM Studio or another GGUF-compatible runtime.

google/gemma-4-31B-it
chatcodereasoningqualitymultimodalgeneral

Install path

01
Check RAM fitMinimum 32 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch gemma-4-31b-it in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Highest quality in Gemma 4 family
  • Strong coding + reasoning
  • 256K context for long documents
  • Multimodal support

Limitations

  • Requires high-end local hardware
  • Heavier inference cost than E2B/E4B

Best use cases

  • Premium local assistant
  • Complex coding tasks
  • Long-context research
  • Multimodal enterprise workflows

Capability profile

speed
5
quality
9
coding
9
reasoning
9

Technical notes

Developer
Google DeepMind
License
Apache 2.0
Context window
262,144 tokens
Architecture
Gemma 4 dense high-capacity multimodal Transformer (31B)

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

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Where to go next