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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-reasoning-plus 14B

MicrosoftMicrosoft

Phi-4-reasoning-plus 14B

Frontier
huggingfaceHuggingFaceollamaOllama
4.7KDownloads335LikesApr 2025Released33K tokensContextMITLicense4 EntryQuality

Get started

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

Quick specs

Parameters14.7B
Architecturedense
Context33K tokens
Modalitytext
Min RAM5.7 GB
Rec. RAM9 GB (Q4_K_M)
LicenseMIT
FamilyPhi
✓ Chat✓ Reasoning

About this model

> [!IMPORTANT] > To fully take advantage of the model's capabilities, inference must use `temperature=0.8`, `top_k=50`, `top_p=0.95`, and `do_sample=True`. For more complex queries, set `max_new_tokens=32768` to allow for longer chain-of-thought (CoT).

  • •AIME 2025, 2024, 2023, and 2022:: Math olympiad questions
  • •GPQA-Diamond:: Complex, graduate-level science questions
  • •OmniMath:: Collection of over 4000 olympiad-level math problems with human annotation
  • •LiveCodeBench:: Code generation benchmark gathered from competitive coding contests
  • •3SAT (3-literal Satisfiability Problem) and TSP (Traveling Salesman Problem):: Algorithmic problem solving

Related models

Your hardware

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Quick picks

AMD
Best budgetC
RX 7600 XT 16GB~$329 — 19 tok/s
AMD
Best overallB
RX 7900 XT 20GB~$899 — 54 tok/s

Best hardware

Top picks for Phi-4-reasoning-plus 14B

NVIDIA
RTX A4500 20GBB
20 GB
AMD
RX 7900 XT 20GBB
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
5.7 GB
Low—
Q3_K_S
3
7.2 GB
Low—
NVFP4
4
8.2 GB
Medium—
Q4_K_M
4
9.0 GB
Medium—
Q5_K_M
5
10.6 GB
High—
Q6_K
6
12.1 GB
High—
Q8_0
8
15.7 GB
Very High—
F16
16
30.1 GB
Maximum—

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights9.0 GB
KV Cache2.3 GB
Runtime0.9 GB
Headroom2.4 GB