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unsloth-phi-4

LM-STUDIO MLX

llama · 4bit

Excellent

Mar 6, 2026 · Apple M4 Pro

hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

Global Score
82 vs 66
Hardware Fit
88 vs 100
Quality Score
80 vs 52

Hardware

unsloth-phi-4 hf.co/empero-ai/Qw…
MachineMac miniMacBook Pro
CPUApple M4 ProApple M4
Cores1410
RAM64 GB16 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

unsloth-phi-4 hf.co/empero-ai/Qw…
Tokens/sec27.426.5
First chunk457 ms447 ms
TTFT457 ms447 ms
Load timeN/A3.3 s
Memory usage7.7 GB4.8 GB
Memory %12%30%

HW Fit Score Breakdown

unsloth-phi-4

Speed
38/50
TTFT
20/20
Memory
30/30

hf.co/empero-ai/Qwen3.8…

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

Quality

unsloth-phi-4

Reasoning
15/20
Coding
19/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

hf.co/empero-ai/Qwen3.8…

Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor

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