qwen2.5-coder-1.5b-instruct-mlx
LM-STUDIO MLXqwen2 · 1.5B · 8bit
Mar 4, 2026 · Apple M4
unsloth/gemma-4-e4b-it@q4_k_m
LM-STUDIO GGUFgemma4 · Q4_K_M
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
70 vs 79
Hardware Fit
100 vs 68
Quality Score
57 vs 84
Hardware
qwen2.5-coder-1.5b… unsloth/gemma-4-e4…
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-e4…
Tokens/sec58.410.8
First chunk234 ms32 ms
TTFT234 ms2.0 s
Load timeN/A9.2 s
Memory usage1.5 GB0.8 GB
Memory %5%5%
HW Fit Score Breakdown
qwen2.5-coder-1.5b-inst…
Speed
50/50
TTFT
20/20
Memory
30/30
unsloth/gemma-4-e4b-it@…
Speed
20/50
TTFT
18/20
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-e4b-it@…
Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong 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