LocalClaw/LLM/CodeGemma (7B)
Open-weight local LLM

CodeGemma (7B)

Google code completion model. Excellent for inline code suggestions. 1.2M downloads.

Laptop ready 8 GB RAM Q5_K_M Coding assistant
Run with LocalClaw Compare all models
Parameters
7B
Minimum RAM
8 GB
Model size
4.5 GB
Quantization
Q5_K_M

Can CodeGemma (7B) run locally?

CodeGemma (7B) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for codegemma-7b-it in LM Studio or another GGUF-compatible runtime.

lmstudio-community/codegemma-7b-it-GGUF
codestandard

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch codegemma-7b-it in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Google code completion model. Excellent for inline code suggestions. 1.2M downloads.

Limitations

  • Performance depends on quantization, RAM bandwidth and runtime support.

Best use cases

  • code
  • standard

Capability profile

speed
8
quality
6
coding
8
reasoning
5

Technical notes

Developer
gemma
License
See model repository
Context window
Unknown tokens
Architecture
See model card

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

Where to go next