qwen2.5-math-1.5b-instruct
LM-STUDIO MLXqwen2 · 1.5B · 4bit
Mar 4, 2026 · Apple M4
llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
45 vs 75
Hardware Fit
99 vs 93
Quality Score
22 vs 67
Hardware
qwen2.5-math-1.5b-… llama3.1:8b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen2.5-math-1.5b-… llama3.1:8b
Tokens/sec91.720.3
First chunk205 msN/A
TTFT205 ms315 ms
Load timeN/A1.1 s
Memory usage0.8 GB10.4 GB
Memory %3%33%
HW Fit Score Breakdown
qwen2.5-math-1.5b-instr…
Speed
50/50
TTFT
20/20
Memory
29/30
llama3.1:8b
Speed
33/50
TTFT
30/20
Memory
30/30
Quality
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
llama3.1:8b
Reasoning
12/20
Coding
15/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest