LLMGemmaMIT

Gemma2 2B

google/gemma-2-2b-it

Parameters

2.6B

Context

8K

Downloads

670K

Likes

1.4K

Architecture

transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
11.1 GB
RAM 32.0 · Disk 46.6
27.1 GB
RAM 40.7 · Disk 72.6
124.3 GB
RAM 186.4 · Disk 111.6
FP88bit
8.0 GB
RAM 32.0 · Disk 42.8
23.9 GB
RAM 35.9 · Disk 68.8
120.9 GB
RAM 181.4 · Disk 107.8
INT88bit
8.0 GB
RAM 32.0 · Disk 42.8
23.9 GB
RAM 35.9 · Disk 68.8
120.9 GB
RAM 181.4 · Disk 107.8
AWQ4bit
6.5 GB
RAM 32.0 · Disk 41.0
22.4 GB
RAM 33.5 · Disk 67.0
119.3 GB
RAM 179.0 · Disk 106.0
GPTQ4bit
6.6 GB
RAM 32.0 · Disk 41.0
22.4 GB
RAM 33.6 · Disk 67.0
119.4 GB
RAM 179.0 · Disk 106.0
GGUF4bit
6.6 GB
RAM 32.0 · Disk 41.0
22.4 GB
RAM 33.6 · Disk 67.0
119.4 GB
RAM 179.1 · Disk 106.0

GPU Recommendations

Best ValueBEST

1× RTX 5090

32 GB VRAM

$343/mo

≈ 1422.2 tok/s

Effective production throughput ≈ 995.5 tok/s

score 0.682

Deploy on vast ↗
Cheapest

1× RTX 3090

24 GB VRAM

$89.2/mo

≈ 742.9 tok/s

Effective production throughput ≈ 520 tok/s

score 0.6464

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 12190.5 tok/s

Effective production throughput ≈ 8533.4 tok/s

score 0.2197

Min Complexity

1× RTX 4090

24 GB VRAM

$190/mo

≈ 800 tok/s

Effective production throughput ≈ 560 tok/s

score 0.6448

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

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GPUs that fit (single card)

RTX 3090

24 GB VRAM

$89.2

/mo · vast

A10

24 GB VRAM

$171

/mo · vast

L4

24 GB VRAM

$185

/mo · vast

RTX 4090

24 GB VRAM

$190

/mo · tensordock

RTX A6000

48 GB VRAM

$210

/mo · vast

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