LLMGemma

google/gemma-3-1b-it

google/gemma-3-1b-it

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1B

Context

32K

Downloads

5.1M

Likes

1.1K

Architecture

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
5.9 GB
RAM 32.0 · Disk 41.9
8.2 GB
RAM 32.0 · Disk 67.9
24.2 GB
RAM 36.3 · Disk 106.9
FP88bit
4.8 GB
RAM 32.0 · Disk 40.5
7.0 GB
RAM 32.0 · Disk 66.5
22.9 GB
RAM 34.3 · Disk 105.5
INT88bit
4.8 GB
RAM 32.0 · Disk 40.5
7.0 GB
RAM 32.0 · Disk 66.5
22.9 GB
RAM 34.3 · Disk 105.5
AWQ4bit
4.2 GB
RAM 32.0 · Disk 39.8
6.4 GB
RAM 32.0 · Disk 65.8
22.3 GB
RAM 33.4 · Disk 104.8
GPTQ4bit
4.2 GB
RAM 32.0 · Disk 39.8
6.4 GB
RAM 32.0 · Disk 65.8
22.3 GB
RAM 33.4 · Disk 104.8
GGUF4bit
4.2 GB
RAM 32.0 · Disk 39.8
6.4 GB
RAM 32.0 · Disk 65.8
22.3 GB
RAM 33.4 · Disk 104.8

GPU Recommendations

Best ValueBEST

1× RTX 5080

16 GB VRAM

$90.6/mo

≈ 2000 tok/s

Effective production throughput ≈ 1400 tok/s

score 0.6015

Deploy on vast ↗
Cheapest

1× RTX 5060 Ti

8 GB VRAM

$39.7/mo

≈ 933.3 tok/s

Effective production throughput ≈ 653.3 tok/s

score 0.6794

Deploy on vast ↗
Performance

8× RTX 5090

256 GB VRAM

$2,055/mo

≈ 11946.7 tok/s

Effective production throughput ≈ 8362.7 tok/s

score 0.3581

Deploy on vast ↗
Min Complexity

1× RTX 5070

12 GB VRAM

$75.2/mo

≈ 1400 tok/s

Effective production throughput ≈ 980 tok/s

score 0.6352

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

View Community →

GPUs that fit (single card)

RTX 5060 Ti

8 GB VRAM

$39.7

/mo · vast

RTX 4070S Ti

16 GB VRAM

$49.5

/mo · vast

RTX 4080S

16 GB VRAM

$50.0

/mo · vast

RTX 5070

12 GB VRAM

$75.2

/mo · vast

RTX 3090

24 GB VRAM

$76.5

/mo · vast

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