LLMLlamaMIT

Llama 3.2 3B

meta-llama/Llama-3.2-3B

Parameters

3.2B

Context

128K

Downloads

478.5K

Likes

887

Architecture

transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
12.5 GB
RAM 32.0 · Disk 48.3
28.6 GB
RAM 42.9 · Disk 74.3
125.8 GB
RAM 188.7 · Disk 113.3
FP88bit
8.7 GB
RAM 32.0 · Disk 43.7
24.6 GB
RAM 37.0 · Disk 69.7
121.7 GB
RAM 182.6 · Disk 108.7
INT88bit
8.7 GB
RAM 32.0 · Disk 43.7
24.6 GB
RAM 37.0 · Disk 69.7
121.7 GB
RAM 182.6 · Disk 108.7
AWQ4bit
6.9 GB
RAM 32.0 · Disk 41.4
22.7 GB
RAM 34.1 · Disk 67.4
119.7 GB
RAM 179.6 · Disk 106.4
GPTQ4bit
6.9 GB
RAM 32.0 · Disk 41.4
22.8 GB
RAM 34.2 · Disk 67.4
119.8 GB
RAM 179.6 · Disk 106.4
GGUF4bit
7.0 GB
RAM 32.0 · Disk 41.5
22.8 GB
RAM 34.2 · Disk 67.5
119.8 GB
RAM 179.7 · Disk 106.5

GPU Recommendations

Best ValueBEST

1× RTX 5090

32 GB VRAM

$246/mo

≈ 1156.1 tok/s

Effective production throughput ≈ 809.3 tok/s

score 0.6872

Deploy on vast ↗
Cheapest

2× Tesla V100

32 GB VRAM

$42.2/mo

≈ 0 tok/s (N/A — benchmark unavailable)

Effective production throughput ≈ 0 tok/s

score 0.6361

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 9909.7 tok/s

Effective production throughput ≈ 6936.8 tok/s

score 0.2197

Min Complexity

1× RTX 3090

24 GB VRAM

$78.7/mo

≈ 603.9 tok/s

Effective production throughput ≈ 422.7 tok/s

score 0.6424

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

View Community →

GPUs that fit (single card)

RTX 3090

24 GB VRAM

$78.7

/mo · vast

RTX 4090D

24 GB VRAM

$117

/mo · vast

A10

24 GB VRAM

$147

/mo · vast

L4

24 GB VRAM

$148

/mo · vast

RTX 4090

24 GB VRAM

$190

/mo · tensordock

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