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llama3.2:latest

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

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

qwen2.5-math-1.5b-instruct

LM-STUDIO MLX

qwen2 · 1.5B · 4bit

Marginal

Mar 4, 2026 · Apple M4

Global Score
76 vs 45
Hardware Fit
100 vs 99
Quality Score
65 vs 22

Hardware

llama3.2:latest qwen2.5-math-1.5b-…
MachineMicro-Star International Co., Ltd. MS-7B79MacBook Air
CPUAMD Ryzen 5 2600X Six-Core ProcessorApple M4
Cores1210
RAM16 GB32 GB
GPUNVIDIA GeForce GTX 1080Apple M4
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

llama3.2:latest qwen2.5-math-1.5b-…
Tokens/sec57.091.7
First chunk264 ms205 ms
TTFT264 ms205 ms
Load time9.7 sN/A
Memory usage2.6 GB0.8 GB
Memory %16%3%

HW Fit Score Breakdown

llama3.2:latest

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

qwen2.5-math-1.5b-instr…

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

Quality

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

qwen2.5-math-1.5b-instr…

Reasoning
2/20
Coding
0/20
Instruction
3/20
Structured
1/15
Math
14/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor

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