Phi-4-reasoning-plus 14B

Frontier

👁 huggingface
HuggingFace 👁 ollama
Ollama

19.4KDownloads344LikesApr 2025Released33K tokensContextMITLicense92 ExceptionalQuality

Phi-4-reasoning-plus 14B (14.699999809265137B parameters) requires approximately 13.8 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 16 GB of VRAM.

Get started

— copy & paste to run locally

Copy-paste commands to run Phi-4-reasoning-plus 14B on your machine.

Run

ollama run phi4-reasoning

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

Best budgetS

RX 7600 XT 16GB~$329 — 20 tok/s

👁 NVIDIA

Best overallS

RTX 4090 24GB~$1,599 — 92 tok/s

Best hardware

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

👁 NVIDIA

RTX 4090 24GBS

24 GB

👁 NVIDIA

RTX 5090 Laptop 24GBS

24 GB

👁 NVIDIA

NVIDIA A30 24GBS

24 GB

👁 NVIDIA

RTX 3090 Ti 24GBS

24 GB

👁 NVIDIA

RTX A4500 20GBS

20 GB

Run this model

Phi-4-reasoning-plus 14B on RTX 4090 24GB Phi-4-reasoning-plus 14B on RTX 5090 Laptop 24GB Phi-4-reasoning-plus 14B on NVIDIA A30 24GB

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

Quant	Bits	VRAM	Quality	Fit
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	—

Quality benchmarks