LocalClaw/LLM/Gemma 2 (9B)
Open-weight local LLM

Gemma 2 (9B)

Google Gemma 2nd gen. Excellent quality-to-size ratio. 8.1M downloads. Great all-around model.

Laptop ready 8 GB RAM Q5_K_M General chat assistant
Run with LocalClaw Compare all models
Parameters
9B
Minimum RAM
8 GB
Model size
5.5 GB
Quantization
Q5_K_M

Can Gemma 2 (9B) run locally?

Gemma 2 (9B) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for gemma-2-9b-it in LM Studio or another GGUF-compatible runtime.

lmstudio-community/gemma-2-9B-it-GGUF
chatcodestandardgeneral

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch gemma-2-9b-it in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Excellent quality-to-size ratio
  • 8.1M+ downloads — battle-tested
  • Strong reasoning for 9B
  • Good coding abilities

Limitations

  • Only 8K context window
  • Gemma license more restrictive than Apache/MIT
  • Not the best for non-English tasks

Best use cases

  • General chat assistant
  • Code completion
  • Content writing
  • Summarization
  • Light reasoning tasks

Capability profile

speed
8
quality
7
coding
7
reasoning
7

Technical notes

Developer
Google DeepMind
License
Gemma License
Context window
8,192 tokens
Architecture
Transformer (decoder-only) with sliding window attention

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.

Entry laptop fitMacBook Air 8GBMore headroomMac mini M4 16GBAll compatible picks8GB RAM guide

Similar models to compare

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Where to go next