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Gemma 3 1B

当前
huggingfaceHuggingFace
1.5M下载量972点赞Mar 2025发布日期33K tokens上下文Gemma许可证22 入门质量

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.

快速开始

— 复制粘贴即可本地运行

Copy-paste commands to run Gemma 3 1B on your machine.

Run

lms load gemma-3-1b-it && lms server start

Quick specs

Parameters1B
Architecturedense
Context33K tokens
Modalitytext
Min RAM0.4 GB
Rec. RAM0.6 GB (Q4_K_M)
LicenseGemma
FamilyGemma
✓ Chat

About this model

Gemma 3 1B is Google's ultra-compact model from the Gemma 3 family. Optimized for mobile and edge inference with surprisingly capable text generation for its parameter count.

相关模型

你的硬件

检测中...

快速推荐

Intel
最佳性价比C
Intel Arc A380 6GB~$139 — 14 tok/s
NVIDIA
最佳综合B
GTX 1650 4GB~$149 — 14 tok/s

最佳硬件

Gemma 3 1B 的最佳选择

NVIDIA
RTX 3050 Ti Laptop 4GBB
4 GB
Intel
Intel Arc A370M 4GBB
4 GB
NVIDIA
GTX 1650 4GBB
4 GB
NVIDIA
RTX 2060 6GBB
6 GB
NVIDIA
GTX 1060 6GBB
6 GB

运行此模型

Gemma 3 1B on RTX 3050 Ti Laptop 4GBGemma 3 1B on Intel Arc A370M 4GBGemma 3 1B on GTX 1650 4GB

量化选项

各量化级别的 VRAM 估算

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
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

Benchmark verified

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

硬件兼容性

全部硬件的适配估算

打开计算器

Computing compatibility...

内存详细分析

Reference: RTX 2060 6GB

Weights0.6 GB
KV Cache0.4 GB
Runtime1.8 GB
Headroom0.6 GB

常见问题

FAQ — Gemma 3 1B

另请参阅

量化指南评分方法打开计算器