FitMyLLM
Microsoft/Dense

MicrosoftPhi-3-medium-14b

Phi-3 Medium. Strong reasoning, coding, and math at the 14B scale.

chatcodingreasoning
14B
Parameters
4K
Context length
8
Benchmarks
10
Quantizations
0
Architecture
Dense
Released
2024-05-21
Layers
40
KV Heads
8
Head Dim
128
Family
phi

Quantization Options

QuantBitsVRAM @ 4KQuality
Q3_K_M4
7.5 GB
low
Q3_K_L4.3
8.0 GB
moderate
IQ4_XS4.46
8.3 GB
moderate
Q4_K_S4.67
8.7 GB
moderate
Q4_K_M4.89
9.0 GB
good
Q5_K_S5.57
10.2 GB
good
Q5_K_M5.7
10.5 GB
good
Q6_K6.56
12.0 GB
excellent
Q8_08.5
15.4 GB
lossless
FP1616
28.5 GB
lossless

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

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READY TO RUN THIS?RENT BY THE HOUR

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Benchmarks (8)

Arena Elo1460
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 phi3:14b-medium-4k-instruct-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-3-medium-14b

Build Hardware for Phi-3-medium-14b

Phi-3 Medium. Strong reasoning, coding, and math at the 14B scale.

▸ SPEC SHEET

Phi-3-medium-14b14B Dense.

▸ SPECIFICATIONS
PARAMETERS
14B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
4K tokens
CAPABILITIES
chat, coding, reasoning
RELEASE DATE
2024-05-21
PROVIDER
Microsoft
FAMILY
phi
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q3_K_M47.5 GB88%
Q3_K_L4.38.0 GB90%
IQ4_XS4.468.3 GB92%
Q4_K_S4.678.7 GB93%
Q4_K_M4.899.0 GB94%
Q5_K_S5.5710.2 GB96%
Q5_K_M5.710.5 GB96%
Q6_K6.5612.0 GB97%
Q8_08.515.4 GB100%
FP161628.5 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO40.8
MATH19.6
IFEval64.2
BBH49.4
GPQA11.5
MUSR13.1
BigCodeBench37.6
Arena Elo1460.0
§ 02RUN COMMAND

Run Phi-3-medium-14b locally with Ollama — needs 9.0 GB VRAM at Q4_K_M:

$ollama run phi3:14b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M