phi-1_5

LM-STUDIO GGUF

phi2 · Q8_0

Not Rec.

Mar 6, 2026 · Intel Core™ i5-5300U

nvidia/nemotron-3-nano

LM-STUDIO MLX

nemotron_h · 30B · 4bit

Excellent

Mar 4, 2026 · Apple M4

Global Score

28 vs 84

Hardware Fit

66 vs 100

Quality Score

11 vs 77

Hardware

phi-1_5 nvidia/nemotron-3-…

MachineLENOVO 20BUS00700MacBook Air

CPUIntel Core™ i5-5300UApple M4

Cores410

RAM16 GB32 GB

GPUIntel(R) HD Graphics 5500Apple M4

OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

phi-1_5 nvidia/nemotron-3-…

Tokens/sec6.947.9

First chunk3040 ms465 ms

TTFT3.0 s465 ms

Load timeN/AN/A

Memory usage1.4 GB16.6 GB

Memory %9%52%

HW Fit Score Breakdown

phi-1_5

Speed

24/50

TTFT

16/20

Memory

26/30

nvidia/nemotron-3-nano

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

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

nvidia/nemotron-3-nano

Reasoning

13/20

Coding

18/20

Instruction

14/20

Structured

15/15

Math

7/15

Multilingual

10/10

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

View phi-1_5 details | View nvidia/nemotron-3-… 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