LLMPhiMIT

Phi-4 14B

microsoft/phi-4

Parameters

14B

Context

16K

Downloads

626.7K

Likes

2.3K

Architecture

transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
37.9 GB
RAM 56.9 · Disk 79.7
55.2 GB
RAM 82.8 · Disk 105.7
153.6 GB
RAM 230.4 · Disk 144.7
FP88bit
21.4 GB
RAM 32.2 · Disk 59.3
37.9 GB
RAM 56.9 · Disk 85.3
135.6 GB
RAM 203.4 · Disk 124.3
INT88bit
21.4 GB
RAM 32.2 · Disk 59.3
37.9 GB
RAM 56.9 · Disk 85.3
135.6 GB
RAM 203.4 · Disk 124.3
AWQ4bit
13.5 GB
RAM 32.0 · Disk 49.6
29.7 GB
RAM 44.5 · Disk 75.6
126.9 GB
RAM 190.4 · Disk 114.6
GPTQ4bit
13.6 GB
RAM 32.0 · Disk 49.7
29.8 GB
RAM 44.6 · Disk 75.7
127.1 GB
RAM 190.6 · Disk 114.7
GGUF4bit
13.8 GB
RAM 32.0 · Disk 49.9
30.0 GB
RAM 45.0 · Disk 75.9
127.3 GB
RAM 190.9 · Disk 114.9

GPU Recommendations

Best ValueBEST

1× H100 SXM

80 GB VRAM

$1,170/mo

≈ 495.6 tok/s

Effective production throughput ≈ 346.9 tok/s

score 0.5884

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 0.6

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 2272.2 tok/s

Effective production throughput ≈ 1590.5 tok/s

score 0.2197

Min Complexity

1× RTX A6000

48 GB VRAM

$210/mo

≈ 113.6 tok/s

Effective production throughput ≈ 79.5 tok/s

score 0.6558

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

$244

/mo · vast

L40S

48 GB VRAM

$341

/mo · vast

RTX PRO 6000 WS

48 GB VRAM

$586

/mo · vast

A100 80GB

80 GB VRAM

$876

/mo · vast

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