FitMyLLM
Microsoft/Dense

MicrosoftPhi-4-reasoning 14B

Phi-4 with chain-of-thought reasoning. Excels at math and logic puzzles.

chatreasoningcodingThinkingDistilled
14.66B
Parameters
32K
Context length
8
Benchmarks
10
Quantizations
0
Architecture
Dense
Released
2025-04-01
Layers
40
KV Heads
10
Head Dim
128
Family
phi

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q3_K_M4
10.2 GB
7.8 + 2.3 KV
low
Q3_K_L4.3
10.7 GB
8.4 + 2.3 KV
moderate
IQ4_XS4.46
11.0 GB
8.7 + 2.3 KV
moderate
Q4_K_S4.67
11.4 GB
9.0 + 2.3 KV
moderate
Q4_K_M4.89
11.8 GB
9.4 + 2.3 KV
good
Q5_K_S5.57
13.0 GB
10.7 + 2.3 KV
good
Q5_K_M5.7
13.3 GB
10.9 + 2.3 KV
good
Q6_K6.56
14.9 GB
12.5 + 2.3 KV
excellent
Q8_08.5
18.4 GB
16.1 + 2.3 KV
lossless
FP1616
32.2 GB
29.8 + 2.3 KV
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

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Benchmarks (8)

Arena Elo1465
IFEval64.2
BBH49.4
MMLU-PRO40.8
BigCodeBench37.6
MATH19.6
MUSR13.1
GPQA11.5

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run phi4:14b-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA CMP 170HX 10 GB
10 GB VRAM • 1560 GB/s
NVIDIA
NVIDIA CMP 50HX
10 GB VRAM • 560 GB/s
NVIDIA
NVIDIA CMP 90HX
10 GB VRAM • 760 GB/s
NVIDIA
NVIDIA Tesla K40c
12 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla K40d
12 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla K40m
12 GB VRAM • 288 GB/s
NVIDIA

Find the best GPU for Phi-4-reasoning 14B

Build Hardware for Phi-4-reasoning 14B

Phi-4 with chain-of-thought reasoning. Excels at math and logic puzzles.

▸ SPEC SHEET

Phi-4-reasoning 14B14.66B Dense.

▸ SPECIFICATIONS
PARAMETERS
14.66B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
32K tokens
CAPABILITIES
chat, reasoning, coding
RELEASE DATE
2025-04-01
PROVIDER
Microsoft
FAMILY
phi
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q3_K_M47.8 GB88%
Q3_K_L4.38.4 GB90%
IQ4_XS4.468.7 GB92%
Q4_K_S4.679.0 GB93%
Q4_K_M4.899.4 GB94%
Q5_K_S5.5710.7 GB96%
Q5_K_M5.710.9 GB96%
Q6_K6.5612.5 GB97%
Q8_08.516.1 GB100%
FP161629.8 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO40.8
MATH19.6
IFEval64.2
BBH49.4
GPQA11.5
MUSR13.1
BigCodeBench37.6
Arena Elo1465.0
§ 02RUN COMMAND

Run Phi-4-reasoning 14B locally with Ollama — needs 9.4 GB VRAM at Q4_K_M:

$ollama run phi4:14b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M