LLMLlamaMIT

Llama 2 13B

meta-llama/Llama-2-13b-chat-hf

Parameters

13B

Context

4K

Downloads

170.6K

Likes

1.1K

Architecture

transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
35.6 GB
RAM 53.4 · Disk 76.8
52.7 GB
RAM 79.1 · Disk 102.8
151.0 GB
RAM 226.5 · Disk 141.8
FP88bit
20.3 GB
RAM 32.0 · Disk 57.9
36.7 GB
RAM 55.1 · Disk 83.9
134.3 GB
RAM 201.5 · Disk 122.9
INT88bit
20.3 GB
RAM 32.0 · Disk 57.9
36.7 GB
RAM 55.1 · Disk 83.9
134.3 GB
RAM 201.5 · Disk 122.9
AWQ4bit
12.9 GB
RAM 32.0 · Disk 48.8
29.0 GB
RAM 43.5 · Disk 74.8
126.3 GB
RAM 189.4 · Disk 113.8
GPTQ4bit
13.0 GB
RAM 32.0 · Disk 48.9
29.1 GB
RAM 43.7 · Disk 74.9
126.4 GB
RAM 189.6 · Disk 113.9
GGUF4bit
13.2 GB
RAM 32.0 · Disk 49.2
29.3 GB
RAM 44.0 · Disk 75.2
126.6 GB
RAM 189.9 · Disk 114.2

GPU Recommendations

Best ValueBEST

1× H100 SXM

80 GB VRAM

$1,170/mo

≈ 533.4 tok/s

Effective production throughput ≈ 373.4 tok/s

score 0.5862

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 0.6049

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 2445.9 tok/s

Effective production throughput ≈ 1712.1 tok/s

score 0.2197

Min Complexity

1× RTX A6000

48 GB VRAM

$210/mo

≈ 122.3 tok/s

Effective production throughput ≈ 85.6 tok/s

score 0.6523

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

View Community →

GPUs that fit (single card)

RTX A6000

48 GB VRAM

$210

/mo · vast

RTX 5090

32 GB VRAM

$246

/mo · vast

L40S

48 GB VRAM

$341

/mo · vast

RTX PRO 6000 S

48 GB VRAM

$633

/mo · vast

RTX PRO 6000 WS

48 GB VRAM

$634

/mo · vast

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