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qwen2.5-7b-instruct

LM-STUDIO MLX

qwen2 · 7B · 4bit

Excellent

Mar 3, 2026 · Apple M4

mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

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

Global Score
82 vs 73
Hardware Fit
92 vs 100
Quality Score
78 vs 62

Hardware

qwen2.5-7b-instruct mistral:latest
MachineMacBook AirMicro-Star International Co., Ltd. MS-7B79
CPUApple M4AMD Ryzen 5 2600X Six-Core Processor
Cores1012
RAM32 GB16 GB
GPUApple M4NVIDIA GeForce GTX 1080
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen2.5-7b-instruct mistral:latest
Tokens/sec22.031.7
First chunk477 ms102 ms
TTFT477 ms102 ms
Load timeN/A14.3 s
Memory usage4.0 GB4.8 GB
Memory %13%30%

HW Fit Score Breakdown

qwen2.5-7b-instruct

Speed
43/50
TTFT
20/20
Memory
29/30

mistral:latest

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

Quality

qwen2.5-7b-instruct

Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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

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