Back to leaderboard

qwen2.5-math-1.5b-instruct

LM-STUDIO MLX

qwen2 · 1.5B · 4bit

Marginal

Mar 4, 2026 · Apple M4

smollm2-360m-instruct

LM-STUDIO GGUF

llama · 360M · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

Global Score
45 vs 48
Hardware Fit
99 vs 98
Quality Score
22 vs 26

Hardware

qwen2.5-math-1.5b-… smollm2-360m-instr…
MachineMacBook AirLENOVO 20BUS00700
CPUApple M4Intel Core™ i5-5300U
Cores104
RAM32 GB16 GB
GPUApple M4Intel(R) HD Graphics 5500
OSmacOS 26.3Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

qwen2.5-math-1.5b-… smollm2-360m-instr…
Tokens/sec91.720.0
First chunk205 ms1116 ms
TTFT205 ms1.1 s
Load timeN/AN/A
Memory usage0.8 GB0.3 GB
Memory %3%2%

HW Fit Score Breakdown

qwen2.5-math-1.5b-instr…

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

smollm2-360m-instruct

Speed
50/50
TTFT
20/20
Memory
28/30

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

smollm2-360m-instruct

Reasoning
3/20
Coding
1/20
Instruction
8/20
Structured
8/15
Math
3/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Poor Multilingual: Weak

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