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Gemma 2 2B

Actual
382.0KDescargas1.4KMe gustaJun 2024Publicado8K tokensContextoGemmaLicencia15 EntradaCalidad

Gemma 2 2B (2B parameters) requires approximately 4.6 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 6 GB of VRAM.

Comenzar

— copia y pega para ejecutar en local

Copy-paste commands to run Gemma 2 2B on your machine.

Run

lms load gemma-2-2b-it && lms server start

Quick specs

Parameters2B
Architecturedense
Context8K tokens
Modalitytext
Min RAM0.8 GB
Rec. RAM1.2 GB (Q4_K_M)
LicenseGemma
FamilyGemma
Chat

About this model

Gemma 2 2B is Google's lightweight model designed for on-device and edge deployment. Delivers strong text generation and reasoning performance at minimal resource cost.

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Opciones de cuantización

Estimaciones de VRAM por nivel de cuantización

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
0.8 GB
Low
Q3_K_S
3
1.0 GB
Low
NVFP4
4
1.1 GB
Medium
Q4_K_M
4
1.2 GB
Medium
Q5_K_M
5
1.4 GB
High
Q6_K
6
1.6 GB
High
Q8_0
8
2.1 GB
Very High
F16
16
4.1 GB
Maximum

Quality benchmarks

Gemma 2 2B benchmark scores

Benchmark verified

Coding

SWE-bench Verified
HumanEval+40.2%
Aider Polyglot
LiveCodeBench

Reasoning

MMLU-Pro17.2%
GPQA Diamond3.2%
MATH-50036.6%
ARC Challenge68.4%

General

Chatbot Arena
IFEval56.7%

Source: official · 2024-06-27

Compatibilidad de hardware

Estimaciones de encaje en todo el hardware

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Computing compatibility...

Desglose de memoria

Reference: RTX 2060 6GB

Weights1.2 GB
KV Cache1.6 GB
Runtime1.2 GB
Headroom0.6 GB

Preguntas frecuentes

FAQ — Gemma 2 2B

Ver también