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phi-3.5-mini-instruct

LM-STUDIO MLX

phi3 · 4bit

Marginal

Mar 4, 2026 · Apple M4

hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
55 vs 76
Hardware Fit
100 vs 92
Quality Score
36 vs 69

Hardware

phi-3.5-mini-instr… hf.co/bartowski/ai…
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

phi-3.5-mini-instr… hf.co/bartowski/ai…
Tokens/sec43.429.9
First chunk359 ms105 ms
TTFT359 ms105 ms
Load timeN/A3.4 s
Memory usage2.0 GB8.9 GB
Memory %6%56%

HW Fit Score Breakdown

phi-3.5-mini-instruct

Speed
50/50
TTFT
20/20
Memory
30/30

hf.co/bartowski/ai9star…

Speed
50/50
TTFT
20/20
Memory
22/30

Quality

phi-3.5-mini-instruct

Reasoning
11/20
Coding
4/20
Instruction
7/20
Structured
1/15
Math
7/15
Multilingual
6/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Weak Multilingual: Adequate

hf.co/bartowski/ai9star…

Reasoning
11/20
Coding
13/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
8/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View phi-3.5-mini-instr… details | View hf.co/bartowski/ai… 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