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

QuantBitsVRAMQuality
Q3_K_M47.5 GBlow
Q3_K_L4.38.0 GBmoderate
IQ4_XS4.468.3 GBmoderate
Q4_K_S4.678.7 GBmoderate
Q4_K_M4.899.0 GBgood
Q5_K_S5.5710.2 GBgood
Q5_K_M5.710.5 GBgood
Q6_K6.5612.0 GBexcellent
Q8_08.515.4 GBlossless
FP161628.5 GBlossless

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

▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN PHI-3-MEDIUM-14B NOW

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Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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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 phi3:14.0b-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
HuggingFaceOllama LibraryGGUF DownloadsBuild Hardware

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA RTX 3080 10GB
10 GB VRAM • 760 GB/s
NVIDIA
$429
AmazonNeweggeBayPCPartPicker
Intel Arc B570
10 GB VRAM • 456 GB/s
INTEL
$219
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce RTX 3080
10 GB VRAM • 760 GB/s
NVIDIA
$699
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 6700
10 GB VRAM • 320 GB/s
AMD
$299
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 6700M
10 GB VRAM • 320 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 6750 GRE 10 GB
10 GB VRAM • 320 GB/s
AMD
$229
AmazonNeweggeBayPCPartPicker
NVIDIA P102-101
10 GB VRAM • 320 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
AMD Xbox Series X GPU
10 GB VRAM • 560 GB/s
AMD
AmazonNeweggeBayPCPartPicker
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
AMD Xbox Series X 6nm GPU
10 GB VRAM • 560 GB/s
AMD
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 2080 Ti
11 GB VRAM • 616 GB/s
NVIDIA
$350
AmazonNeweggeBayPCPartPicker
NVIDIA GTX 1080 Ti
11 GB VRAM • 484 GB/s
NVIDIA
$200
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce GTX 1080 Ti
11 GB VRAM • 484 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce RTX 2080 Ti
11 GB VRAM • 616 GB/s
NVIDIA
$225
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 5070
12 GB VRAM • 672 GB/s
NVIDIA
$549
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 4070 Ti
12 GB VRAM • 504 GB/s
NVIDIA
$799
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 4070 SUPER
12 GB VRAM • 504 GB/s
NVIDIA
$599
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 4070
12 GB VRAM • 504 GB/s
NVIDIA
$549
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 3080 Ti
12 GB VRAM • 912 GB/s
NVIDIA
$550
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 3080 12GB
12 GB VRAM • 912 GB/s
NVIDIA
$599
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 3060 12GB
12 GB VRAM • 360 GB/s
NVIDIA
$329
AmazonNeweggeBayPCPartPicker
AMD RX 7700 XT
12 GB VRAM • 432 GB/s
AMD
$449
AmazonNeweggeBayPCPartPicker
AMD RX 6700 XT
12 GB VRAM • 384 GB/s
AMD
$344
AmazonNeweggeBayPCPartPicker
AMD RX 6750 XT
12 GB VRAM • 432 GB/s
AMD
$299
AmazonNeweggeBayPCPartPicker
Intel Arc B580
12 GB VRAM • 456 GB/s
INTEL
$249
AmazonNeweggeBayPCPartPicker
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

Model Card

View on HuggingFace

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

▸ SPEC SHEET

Phi-3-medium-14b — 14B 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
NVIDIA RTX 3080 10GB
10 GB · 760 GB/s
Intel Arc B570
10 GB · 456 GB/s
NVIDIA GeForce RTX 3080
10 GB · 760 GB/s
AMD Radeon RX 6700
10 GB · 320 GB/s
AMD Radeon RX 6700M
10 GB · 320 GB/s
AMD Radeon RX 6750 GRE 10 GB
10 GB · 320 GB/s
NVIDIA P102-101
10 GB · 320 GB/s
AMD Xbox Series X GPU
10 GB · 560 GB/s
NVIDIA CMP 170HX 10 GB
10 GB · 1560 GB/s
NVIDIA CMP 50HX
10 GB · 560 GB/s
NVIDIA CMP 90HX
10 GB · 760 GB/s
AMD Xbox Series X 6nm GPU
10 GB · 560 GB/s
NVIDIA RTX 2080 Ti
11 GB · 616 GB/s
NVIDIA GTX 1080 Ti
11 GB · 484 GB/s
NVIDIA GeForce GTX 1080 Ti
11 GB · 484 GB/s