qwen2.5-math-1.5b-instruct
LM-STUDIO MLXqwen2 · 1.5B · 4bit
Mar 4, 2026 · Apple M4
glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
45 vs 81
Hardware Fit
99 vs 89
Quality Score
22 vs 77
Hardware
qwen2.5-math-1.5b-… glm-4.7-flash:q4_K_M
MachineMacBook AirASUS
CPUApple M4Intel Core™ i5-14600KF
Cores1020
RAM32 GB32 GB
GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen2.5-math-1.5b-… glm-4.7-flash:q4_K_M
Tokens/sec91.735.1
First chunk205 ms440 ms
TTFT205 ms440 ms
Load timeN/A11.6 s
Memory usage0.8 GB18.4 GB
Memory %3%58%
HW Fit Score Breakdown
qwen2.5-math-1.5b-instr…
Speed
50/50
TTFT
20/20
Memory
29/30
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
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
glm-4.7-flash:q4_K_M
Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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