Will It Run AI

MicrosoftMicrosoft

Phi 3 Medium 14B

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7.1K下载量388点赞May 2024发布日期128K tokens上下文MIT许可证29 入门质量

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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Copy-paste commands to run Phi 3 Medium 14B on your machine.

Run

ollama run phi3:medium

Quick specs

Parameters14B
Architecturedense
Context128K tokens
Modalitytext
Min RAM5.5 GB
Rec. RAM8.5 GB (Q4_K_M)
LicenseMIT
FamilyPhi
Chat Reasoning

About this model

The Phi-3-Medium-128K-Instruct is a 14B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties. The model belongs to the Phi-3 family with the Medium version in two variants 4k and 128K which is the context length (in tokens) that it can support.

  • Memory/compute constrained environments
  • Latency bound scenarios
  • Strong reasoning (especially code, math and logic)

相关模型

你的硬件

检测中...

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最佳硬件

Phi 3 Medium 14B 的最佳选择

运行此模型

量化选项

各量化级别的 VRAM 估算

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
5.5 GB
Low
Q3_K_S
3
6.9 GB
Low
NVFP4
4
7.8 GB
Medium
Q4_K_M
4
8.5 GB
Medium
Q5_K_M
5
10.1 GB
High
Q6_K
6
11.5 GB
High
Q8_0
8
15.0 GB
Very High
F16
16
28.7 GB
Maximum

Quality benchmarks

Phi 3 Medium 14B benchmark scores

Benchmark verified

Coding

SWE-bench Verified
HumanEval+58.5%
Aider Polyglot
LiveCodeBench

Reasoning

MMLU-Pro41.2%
GPQA Diamond11.5%
MATH-50019.2%
ARC Challenge91.0%

General

Chatbot Arena
IFEval60.4%

Source: official · 2024-04-22

硬件兼容性

全部硬件的适配估算

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Computing compatibility...

内存详细分析

Reference: RTX 2060 6GB

Weights8.5 GB
KV Cache3.1 GB
Runtime1.2 GB
Headroom0.6 GB

常见问题

FAQ — Phi 3 Medium 14B

另请参阅