qwen2.5-coder-1.5b-instruct-mlx
LM-STUDIO MLXqwen2 · 1.5B · 8bit
Mar 4, 2026 · Apple M4
unsloth/gemma-4-12b-it-qat
LM-STUDIO GGUFgemma4 · 12B · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
70 vs 75
Hardware Fit
100 vs 48
Quality Score
57 vs 86
Hardware
qwen2.5-coder-1.5b… unsloth/gemma-4-12…
MachineMacBook AirDocker Container
CPUApple M4Intel Gen Intel® Core™ i9-11900H
Cores1016
RAM32 GB15 GB
GPUApple M4TigerLake-H GT1 [UHD Graphics]
OSmacOS 26.3Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen2.5-coder-1.5b… unsloth/gemma-4-12…
Tokens/sec58.46.0
First chunk234 ms27 ms
TTFT234 ms5.1 s
Load timeN/A8.4 s
Memory usage1.5 GB0.0 GB
Memory %5%0%
HW Fit Score Breakdown
qwen2.5-coder-1.5b-inst…
Speed
50/50
TTFT
20/20
Memory
30/30
unsloth/gemma-4-12b-it-…
Speed
10/50
TTFT
8/20
Memory
30/30
Quality
qwen2.5-coder-1.5b-inst…
Reasoning
9/20
Coding
12/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
7/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
unsloth/gemma-4-12b-it-…
Reasoning
16/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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