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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

unsloth-phi-4

LM-STUDIO MLX

llama · 4bit

Excellent

Mar 6, 2026 · Apple M4 Pro

Global Score
62 vs 82
Hardware Fit
77 vs 88
Quality Score
55 vs 80

Hardware

google/gemma-4-e4b unsloth-phi-4
MachineLENOVO 82JQMac mini
CPUAMD Ryzen 7 5800HApple M4 Pro
Cores1614
RAM16 GB64 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M4 Pro
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b unsloth-phi-4
Tokens/sec27.627.4
First chunk23 ms457 ms
TTFT480 ms457 ms
Load timeN/AN/A
Memory usage13.2 GB7.7 GB
Memory %83%12%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

unsloth-phi-4

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

Quality

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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
View google/gemma-4-e4b details | View unsloth-phi-4 details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest