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qwen2.5-coder-7b-instruct-mlx

LM-STUDIO MLX

qwen2 · 7B · 4bit

Good

Mar 3, 2026 · Apple M4

google/gemma-4-26b-a4b-it-qat

LM-STUDIO GGUF

gemma4 · 26B · Q4_0

Excellent

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
79 vs 82
Hardware Fit
92 vs 56
Quality Score
73 vs 93

Hardware

qwen2.5-coder-7b-i… google/gemma-4-26b…
MachineMacBook AirDocker Container
CPUApple M4Intel Gen Intel® Core™ i9-11900H
Cores1016
RAM32 GB15 GB
GPUApple M4TigerLake-H GT1 [UHD Graphics]
OSmacOS 26.3Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen2.5-coder-7b-i… google/gemma-4-26b…
Tokens/sec22.512.0
First chunk529 ms86 ms
TTFT529 ms2.8 s
Load timeN/A57.2 s
Memory usage4.0 GB9.1 GB
Memory %13%59%

HW Fit Score Breakdown

qwen2.5-coder-7b-instru…

Speed
44/50
TTFT
20/20
Memory
28/30

google/gemma-4-26b-a4b-…

Speed
22/50
TTFT
14/20
Memory
20/30

Quality

qwen2.5-coder-7b-instru…

Reasoning
10/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

google/gemma-4-26b-a4b-…

Reasoning
17/20
Coding
19/20
Instruction
20/20
Structured
14/15
Math
13/15
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