LLMLlamaMIT

Llama 3.2 1B

meta-llama/Llama-3.2-1B

Parameters

1.2B

Context

128K

Downloads

1.6M

Likes

2.5K

Architecture

transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
7.8 GB
RAM 32.0 · Disk 42.5
23.7 GB
RAM 35.5 · Disk 68.5
120.7 GB
RAM 181.0 · Disk 107.5
FP88bit
6.4 GB
RAM 32.0 · Disk 40.7
22.2 GB
RAM 33.3 · Disk 66.7
119.1 GB
RAM 178.7 · Disk 105.7
INT88bit
6.4 GB
RAM 32.0 · Disk 40.7
22.2 GB
RAM 33.3 · Disk 66.7
119.1 GB
RAM 178.7 · Disk 105.7
AWQ4bit
5.7 GB
RAM 32.0 · Disk 39.9
21.5 GB
RAM 32.2 · Disk 65.9
118.4 GB
RAM 177.6 · Disk 104.9
GPTQ4bit
5.7 GB
RAM 32.0 · Disk 39.9
21.5 GB
RAM 32.2 · Disk 65.9
118.4 GB
RAM 177.6 · Disk 104.9
GGUF4bit
5.7 GB
RAM 32.0 · Disk 39.9
21.5 GB
RAM 32.2 · Disk 65.9
118.4 GB
RAM 177.6 · Disk 104.9

GPU Recommendations

Best ValueBEST

1× RTX 5090

32 GB VRAM

$244/mo

≈ 3089.7 tok/s

Effective production throughput ≈ 2162.8 tok/s

score 0.6766

Deploy on vast ↗
Cheapest

2× Tesla V100

32 GB VRAM

$19.9/mo

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

Effective production throughput ≈ 0 tok/s

score 0.626

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 26482.8 tok/s

Effective production throughput ≈ 18538 tok/s

score 0.2197

Min Complexity

1× RTX 3090

24 GB VRAM

$78.7/mo

≈ 1613.8 tok/s

Effective production throughput ≈ 1129.7 tok/s

score 0.6565

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 4090

24 GB VRAM

$98.1

/mo · vast

RTX 4090D

24 GB VRAM

$117

/mo · vast

L4

24 GB VRAM

$148

/mo · vast

A10

24 GB VRAM

$176

/mo · vast

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