๐ Microsoft
Microsoft
Phi 3 Medium 14B
Current7.9KDownloads388LikesMay 2024Released128K tokensContextMITLicense29 EntryQuality
Phi 3 Medium 14B (14B parameters) requires approximately 13.4 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.
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โ copy & paste to run locallyCopy-paste commands to run Phi 3 Medium 14B on your machine.
Run
ollama run phi3:mediumQuick specs
Parameters14B
Architecturedense
Context128K tokens
Modalitytext
Min RAM5.5 GB
Rec. RAM8.5 GB (Q4_K_M)
LicenseMIT
FamilyPhi
โ Chatโ Reasoning
About this model
- โขMemory/compute constrained environments
- โขLatency bound scenarios
- โขStrong reasoning (especially code, math and logic)
Related models
Your hardware
Detecting...
Quick picks
Best budgetB
RX 7600 XT 16GB~$329 โ 21 tok/sBest overallB
RTX A4500 20GB~$2,000 โ 63 tok/sBest hardware
Top picks for Phi 3 Medium 14B
Run this model
Quantization options
VRAM estimates by quant level
No hardware detected โ fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | โ |
Q3_K_S | 3 | 6.9 GB | Low | โ |
NVFP4 | 4 | 7.8 GB | Medium | โ |
Q4_K_M | 4 | 8.5 GB | Medium | โ |
Q5_K_M | 5 | 10.1 GB | High | โ |
Q6_K | 6 | 11.5 GB | High | โ |
Q8_0 | 8 | 15.0 GB | Very High | โ |
F16 | 16 | 28.7 GB | Maximum | โ |
Quality benchmarks
Phi 3 Medium 14B benchmark scores
Coding
SWE-bench Verifiedโ
HumanEval+58.5%
Aider Polyglotโ
LiveCodeBenchโ
Reasoning
MMLU-Pro41.2%
GPQA Diamond11.5%
MATH-50019.2%
ARC Challenge91.0%
General
Chatbot Arenaโ
IFEval60.4%
Source: official ยท 2024-04-22
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights8.5 GB
KV Cache3.1 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ โ Phi 3 Medium 14B
See also
