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qwen2.5-7b-instruct

LM-STUDIO MLX

qwen2 · 7B · 4bit

Excellent

Mar 3, 2026 · Apple M4

llama3.2:latest

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

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

Global Score
82 vs 76
Hardware Fit
92 vs 100
Quality Score
78 vs 65

Hardware

qwen2.5-7b-instruct llama3.2: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 llama3.2:latest
Tokens/sec22.057.0
First chunk477 ms264 ms
TTFT477 ms264 ms
Load timeN/A9.7 s
Memory usage4.0 GB2.6 GB
Memory %13%16%

HW Fit Score Breakdown

qwen2.5-7b-instruct

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

llama3.2: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

llama3.2:latest

Reasoning
11/20
Coding
15/20
Instruction
15/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong
View qwen2.5-7b-instruct details | View llama3.2:latest 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