👁 Google
Google
Gemma 3 1B
Current
3.6MDownloads1.0KLikesMar 2025Released33K tokensContextGemmaLicense22 EntryQuality
Gemma 3 1B (1B parameters) requires approximately 3.4 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 4 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run Gemma 3 1B on your machine.
Run
lms load gemma-3-1b-it && lms server startQuick specs
Parameters1B
Architecturedense
Context33K tokens
Modalitytext
Min RAM0.4 GB
Rec. RAM0.6 GB (Q4_K_M)
LicenseGemma
FamilyGemma
✓ Chat
About this model
Related models
Your hardware
Detecting...
Quick picks
Best hardware
Top picks for Gemma 3 1B
Run this model
Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.4 GB | Low | — |
Q3_K_S | 3 | 0.5 GB | Low | — |
NVFP4 | 4 | 0.6 GB | Medium | — |
Q4_K_M | 4 | 0.6 GB | Medium | — |
Q5_K_M | 5 | 0.7 GB | High | — |
Q6_K | 6 | 0.8 GB | High | — |
Q8_0 | 8 | 1.1 GB | Very High | — |
F16 | 16 | 2.1 GB | Maximum | — |
Quality benchmarks
Gemma 3 1B benchmark scores
Coding
SWE-bench Verified—
HumanEval+41.5%
Aider Polyglot—
LiveCodeBench1.9%
Reasoning
MMLU-Pro—
GPQA Diamond—
MATH-50048.0%
ARC Challenge—
Source: official · 2025-03-12
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights0.6 GB
KV Cache0.4 GB
Runtime1.8 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Gemma 3 1B
See also