OCR / VisionGemmaMIT

Gemma 3 27B

google/gemma-3-27b-it

Google Gemma 3 27B, multimodal chat with 128K context.

Parameters

27B

Context

128K

Downloads

680K

Likes

2.6K

Architecture

transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
68.6 GB
RAM 102.9 · Disk 117.5
87.2 GB
RAM 130.8 · Disk 143.5
187.0 GB
RAM 280.5 · Disk 182.5
FP88bit
36.8 GB
RAM 55.1 · Disk 78.2
54.0 GB
RAM 80.9 · Disk 104.2
152.3 GB
RAM 228.5 · Disk 143.2
INT88bit
36.8 GB
RAM 55.1 · Disk 78.2
54.0 GB
RAM 80.9 · Disk 104.2
152.3 GB
RAM 228.5 · Disk 143.2
AWQ4bit
21.5 GB
RAM 32.2 · Disk 59.4
38.0 GB
RAM 56.9 · Disk 85.4
135.6 GB
RAM 203.4 · Disk 124.4
GPTQ4bit
21.7 GB
RAM 32.5 · Disk 59.6
38.2 GB
RAM 57.2 · Disk 85.6
135.8 GB
RAM 203.7 · Disk 124.6
GGUF4bit
22.1 GB
RAM 33.1 · Disk 60.1
38.6 GB
RAM 57.9 · Disk 86.1
136.3 GB
RAM 204.4 · Disk 125.1

GPU Recommendations

Best ValueBEST

1× H100 SXM

80 GB VRAM

$1,170/mo

≈ 256.9 tok/s

Effective production throughput ≈ 179.8 tok/s

score 0.616

Deploy on vast ↗
Cheapest

2× RTX 3090

48 GB VRAM

$153/mo

≈ 114.8 tok/s

Effective production throughput ≈ 80.4 tok/s

score 0.6442

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 1177.9 tok/s

Effective production throughput ≈ 824.5 tok/s

score 0.2197

Min Complexity

1× RTX A6000

48 GB VRAM

$226/mo

≈ 58.9 tok/s

Effective production throughput ≈ 41.2 tok/s

score 0.6799

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

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GPUs that fit (single card)

RTX A6000

48 GB VRAM

$226

/mo · vast

L40S

48 GB VRAM

$341

/mo · vast

RTX PRO 6000 WS

48 GB VRAM

$482

/mo · vast

A100 80GB

80 GB VRAM

$876

/mo · vast

RTX PRO 6000 S

48 GB VRAM

$925

/mo · vast

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