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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Models/Phi-4 14B

MicrosoftMicrosoft

Phi-4 14B

Current
huggingfaceHuggingFaceollamaOllama
985.8KDownloads2.2KLikesDec 2024Released16K tokensContextMITLicense4 EntryQuality

Get started

— copy & paste to run locally
Ollama
ollama run phi-4-14b
HuggingFace
huggingface-cli download phi-4-14b

Quick specs

Parameters14B
Architecturedense
Context16K tokens
Modalitytext
Min RAM5.5 GB
Rec. RAM8.5 GB (Q4_K_M)
LicenseMIT
FamilyPhi
✓ Chat✓ Reasoning

About this model

Our training data is an extension of the data used for Phi-3 and includes a wide variety of sources from:

  • •Publicly available documents filtered rigorously for quality, selected high-quality educational data, and code
  • •Newly created synthetic, “textbook-like” data for the purpose of teaching math, coding, common sense reasoning, general knowledge of the world...
  • •Acquired academic books and Q&A datasets
  • •High quality chat format supervised data covering various topics to reflect human preferences on different aspects such as instruct-following,...

Related models

Your hardware

Detecting...

Quick picks

AMD
Best budgetC
RX 7600 XT 16GB~$329 — 20 tok/s
AMD
Best overallC
RX 7900 XT 20GB~$899 — 56 tok/s

Best hardware

Top picks for Phi-4 14B

NVIDIA
RTX A4500 20GBC
20 GB
AMD
RX 7900 XT 20GBC
20 GB
NVIDIA
RTX 4090 24GBC
24 GB
NVIDIA
RTX 5090 Laptop 24GBC
24 GB
NVIDIA
NVIDIA A30 24GBC
24 GB

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
5.5 GB
Low—
Q3_K_S
3
6.9 GB
Low—
NVFP4
4
7.8 GB
Medium—
Q4_K_M
4
8.5 GB
Medium—
Q5_K_M
5
10.1 GB
High—
Q6_K
6
11.5 GB
High—
Q8_0
8
15.0 GB
Very High—
F16
16
28.7 GB
Maximum—

Quality benchmarks

Phi-4 14B benchmark scores

Benchmark verified

Coding

SWE-bench Verified—
HumanEval+82.6%
Aider Polyglot—
LiveCodeBench—

Reasoning

MMLU-Pro70.4%
GPQA Diamond56.1%
MATH-50080.4%
ARC Challenge—

General

Chatbot Arena—
IFEval63.0%

Source: official · 2024-12-12

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights8.5 GB
KV Cache2.2 GB
Runtime0.9 GB
Headroom2.4 GB