qwen2.5-1.5b-instruct
LM-STUDIO MLXqwen2 · 1.5B · 8bit
Mar 4, 2026 · Apple M4
llama3.2:latest
OLLAMA GGUFllama · 3.2B · Q4_K_M
May 27, 2026 · AMD Ryzen 5 2600X Six-Core Processor
Global Score
69 vs 76
Hardware Fit
100 vs 100
Quality Score
56 vs 65
Hardware
qwen2.5-1.5b-instr… 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
qwen2.5-1.5b-instr… llama3.2:latest
Tokens/sec58.157.0
First chunk211 ms264 ms
TTFT211 ms264 ms
Load timeN/A9.7 s
Memory usage1.5 GB2.6 GB
Memory %5%16%
HW Fit Score Breakdown
qwen2.5-1.5b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
llama3.2:latest
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen2.5-1.5b-instruct
Reasoning
9/20
Coding
10/20
Instruction
10/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak 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
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