LocalClaw/LLM/Gemma 3 (1B)
Open-weight local LLM

Gemma 3 (1B)

Catalogue summary: Ultra-light model from Google. Perfect for quick responses on any machine. Incredibly fast.

Repository editorial metadata; verify comparative claims in the linked upstream material.

4 GB catalogue minimum4 GB RAMQ8_0Fast chat
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Parameters
1B
Minimum RAM
4 GB
Model size
1 GB
Quantization
Q8_0

Can Gemma 3 (1B) run locally?

Gemma 3 (1B) has a catalogue minimum of 4 GB RAM with Q8_0. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use gemma-3-1b-it as the catalogue search term in a compatible runtime, and confirm the available format on the upstream repository before download.

Public GGUF repository (verified 2026-09-07): lmstudio-community/gemma-3-1b-it-GGUFUpstream releasePaper or model cardLicence text
chatlightspeed

Install path

01
Check RAM fitMinimum 4 GB RAM. Start with the Q8_0 quant.
02
Load the modelSearch gemma-3-1b-it in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: gemma
  • Parameters: 1B
  • Recommended quantization: Q8_0
  • Catalogue minimum RAM: 4 GB
  • Catalogue model size: 1 GB
  • Tags: chat, light, speed

Practical limits

  • Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
  • Speed and memory use vary by quantization, backend, context length and system headroom.
  • Verify architecture, licence and usage restrictions in the linked upstream material before deployment.

Catalogue tags

  • chat
  • light
  • speed

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
10
quality
4
coding
3
reasoning
3

Technical notes

Developer
Google DeepMind
License
Gemma License
Context window
32,768 tokens
Architecture
Transformer (decoder-only)

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

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

Gemma 3n (4B) 4BGemma 4 E2B E2BGemma 2 (9B) 9BGemma 3 (4B) 4BGemma 4 E4B E4BGemma 3 (12B) 12BGemma 4 12B 12BGemma 2 (27B) 27B

Where to go next