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mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

May 27, 2026 · AMD Ryzen 5 2600X Six-Core Processor

gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

Global Score
73 vs 90
Hardware Fit
100 vs 78
Quality Score
62 vs 95

Hardware

mistral:latest gemma4:e4b-mlx
MachineMicro-Star International Co., Ltd. MS-7B79MacBook Pro
CPUAMD Ryzen 5 2600X Six-Core ProcessorApple M2 Pro
Cores1210
RAM16 GB16 GB
GPUNVIDIA GeForce GTX 1080Apple M2 Pro
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.5
Archx64arm64
Power Modebalancedbalanced

Performance

mistral:latest gemma4:e4b-mlx
Tokens/sec31.746.1
First chunk102 ms284 ms
TTFT102 ms3.9 s
Load time14.3 s0.1 s
Memory usage4.8 GB10.8 GB
Memory %30%68%

HW Fit Score Breakdown

mistral:latest

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

gemma4:e4b-mlx

Speed
50/50
TTFT
12/20
Memory
16/30

Quality

mistral:latest

Reasoning
8/20
Coding
13/20
Instruction
16/20
Structured
12/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

gemma4:e4b-mlx

Reasoning
19/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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