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Google

Gemma 2 2B

Google · dense · 2.6B parameters · 8,192 context

Quality
44.0

Architecture Details

TypeDENSE
Total Parameters2.6B
Active Parameters2.6B
Layers26
Hidden Dimension2,304
Attention Heads8
KV Heads4
Head Dimension256
Vocab Size256,000

Memory Requirements

BF16 Weights

5.2 GB

FP8 Weights

2.6 GB

INT4 Weights

1.3 GB

KV-Cache per Token106496 bytes
Activation Estimate0.30 GB

Fits on (single-node)

B200 SXM BF16B100 SXM BF16GB200 NVL72 (per GPU) BF16GB300 NVL72 (per GPU) BF16H200 SXM BF16H100 SXM BF16H100 PCIe BF16H100 NVL BF16

GPU Recommendations

RTX 3080optimal

BF16 · 1 GPU · vllm

100/100

score

Throughput

710.3 tok/s

Cost/Month

$133

Cost/M Tokens

$0.07

Use this config →
RTX 4060optimal

BF16 · 1 GPU · vllm

100/100

score

Throughput

254.2 tok/s

Cost/Month

$209

Cost/M Tokens

$0.31

Use this config →
RTX 3070optimal

BF16 · 1 GPU · vllm

100/100

score

Throughput

418.7 tok/s

Cost/Month

$85

Cost/M Tokens

$0.08

Use this config →

API Pricing Comparison

No API pricing data available for this model.

Quality Benchmarks

MMLU
52.2
HumanEval
25.0
GSM8K
48.0
MT-Bench
65.0

Capabilities

Features

Tool Use Vision Code Math Reasoning Multilingual Structured Output

Supported Frameworks

vllmsglangtgitensorrt-llmollama

Supported Precisions

BF16 (default)FP8INT4

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