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gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

Global Score
78 vs 81
Hardware Fit
72 vs 100
Quality Score
81 vs 73

Hardware

gemma4:e4b-mlx llama-3.1-8b-instr…
MachineMacBook ProASUS
CPUApple M2 ProAMD Ryzen 5 5500
Cores1012
RAM16 GB31 GB
GPUApple M2 ProNavi 44 [Radeon RX 9060 XT]
OSmacOS 26.5Nobara Linux 43
Archarm64x64
Power Modebalancedperformance

Performance

gemma4:e4b-mlx llama-3.1-8b-instr…
Tokens/sec26.935.6
First chunk222 ms52 ms
TTFT222 ms256 ms
Load time0.1 sN/A
Memory usage15.4 GB8.6 GB
Memory %96%28%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
2/30

llama-3.1-8b-instruct

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

Quality

gemma4:e4b-mlx

Reasoning
14/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

llama-3.1-8b-instruct

Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View gemma4:e4b-mlx details | View llama-3.1-8b-instr… 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