vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

phi-1_5

LM-STUDIO GGUF

phi2 · Q8_0

Not Rec.

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score

59 vs 28

Hardware Fit

84 vs 66

Quality Score

48 vs 11

Hardware

vicuna:13b phi-1_5

MachineMacBook AirLENOVO 20BUS00700

CPUApple M4Intel Core™ i5-5300U

Cores104

RAM32 GB16 GB

GPUApple M4Intel(R) HD Graphics 5500

OSmacOS 26.3Microsoft Windows 10 Professionnel 10.0.19045

Archarm64x64

Power Modebalancedbalanced

Performance

vicuna:13b phi-1_5

Tokens/sec13.46.9

First chunkN/A3040 ms

TTFT438 ms3.0 s

Load time0.6 sN/A

Memory usage10.3 GB1.4 GB

Memory %32%9%

HW Fit Score Breakdown

vicuna:13b

Speed

24/50

TTFT

30/20

Memory

30/30

phi-1_5

Speed

24/50

TTFT

16/20

Memory

26/30

Quality

vicuna:13b

Reasoning

7/20

Coding

5/20

Instruction

12/20

Structured

13/15

Math

3/15

Multilingual

8/10

Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

phi-1_5

Reasoning

2/20

Coding

2/20

Instruction

3/20

Structured

0/15

Math

2/15

Multilingual

2/10

Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

View vicuna:13b details | View phi-1_5 details

Run yours and compare

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest