willitrun·ai

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Gemma 2 27B

Atual
54.7KDownloads567CurtidasJun 2024Publicado8K tokensContextoGemmaLicença48 BásicoQualidade

Gemma 2 27B (27B parameters) requires approximately 29.5 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 34 GB of VRAM.

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— copie e cole para rodar localmente

Copy-paste commands to run Gemma 2 27B on your machine.

Run

ollama run gemma2:27b

Quick specs

Parameters27B
Architecturedense
Context8K tokens
Modalitytext
Min RAM10.5 GB
Rec. RAM16.5 GB (Q4_K_M)
LicenseGemma
FamilyGemma
Chat Reasoning

About this model

Gemma 2 27B is Google's largest Gemma 2 model, offering state-of-the-art performance among open models of similar size. Built on Gemini technology with strong reasoning, code, and multilingual capabilities.

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Opções de quantização

Estimativas de VRAM por nível de quantização

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
10.5 GB
Low
Q3_K_S
3
13.2 GB
Low
NVFP4
4
15.1 GB
Medium
Q4_K_M
4
16.5 GB
Medium
Q5_K_M
5
19.4 GB
High
Q6_K
6
22.1 GB
High
Q8_0
8
28.9 GB
Very High
F16
16
55.4 GB
Maximum

Quality benchmarks

Gemma 2 27B benchmark scores

Benchmark verified

Coding

SWE-bench Verified
HumanEval+71.3%
Aider Polyglot
LiveCodeBench

Reasoning

MMLU-Pro57.5%
GPQA Diamond16.7%
MATH-50050.1%
ARC Challenge71.4%

General

Chatbot Arena
IFEval79.0%

Source: official · 2024-06-27

Compatibilidade de hardware

Estimativas de compatibilidade para todo o hardware

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Computing compatibility...

Detalhamento de memória

Reference: RTX 2060 6GB

Weights16.5 GB
KV Cache11.2 GB
Runtime1.2 GB
Headroom0.6 GB

Perguntas frequentes

FAQ — Gemma 2 27B

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