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Gemma 2 9B

Actual
380.9KDescargas811Me gustaJun 2024Publicado8K tokensContextoGemmaLicencia36 BásicoCalidad

Gemma 2 9B (9B parameters) requires approximately 12.4 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 15 GB of VRAM.

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— copia y pega para ejecutar en local

Copy-paste commands to run Gemma 2 9B on your machine.

Run

ollama run gemma2

Quick specs

Parameters9B
Architecturedense
Context8K tokens
Modalitytext
Min RAM3.5 GB
Rec. RAM5.5 GB (Q4_K_M)
LicenseGemma
FamilyGemma
Chat

About this model

Gemma 2 9B is Google's mid-size open model built on Gemini research. Features improved reasoning and safety with a novel architecture optimized for efficient inference on consumer hardware.

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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
3.5 GB
Low
Q3_K_S
3
4.4 GB
Low
NVFP4
4
5.0 GB
Medium
Q4_K_M
4
5.5 GB
Medium
Q5_K_M
5
6.5 GB
High
Q6_K
6
7.4 GB
High
Q8_0
8
9.6 GB
Very High
F16
16
18.5 GB
Maximum

Quality benchmarks

Gemma 2 9B benchmark scores

Benchmark verified

Coding

SWE-bench Verified
HumanEval+64.0%
Aider Polyglot
LiveCodeBench

Reasoning

MMLU-Pro47.7%
GPQA Diamond14.8%
MATH-50036.6%
ARC Challenge68.4%

General

Chatbot Arena
IFEval73.6%

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

Weights5.5 GB
KV Cache5.1 GB
Runtime1.2 GB
Headroom0.6 GB

Preguntas frecuentes

FAQ — Gemma 2 9B

Ver también