deepseek-r1-distill-qwen-14b-mlx
LM-STUDIO MLXqwen2 · 14B · 5bit
Mar 11, 2026 · Apple M4
qwen2.5:0.5b
OLLAMA GGUFqwen2 · 494.03M · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
36 vs 57
Hardware Fit
53 vs 100
Quality Score
28 vs 39
Hardware
deepseek-r1-distil… qwen2.5:0.5b
MachineMac miniMacBook Air
CPUApple M4Apple M4
Cores1010
RAM24 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
deepseek-r1-distil… qwen2.5:0.5b
Tokens/sec10.3165.0
First chunk27 msN/A
TTFT20.7 s81 ms
Load time15.4 s0.5 s
Memory usage1.0 GB1.7 GB
Memory %4%5%
HW Fit Score Breakdown
deepseek-r1-distill-qwe…
Speed
23/50
TTFT
0/20
Memory
30/30
qwen2.5:0.5b
Speed
40/50
TTFT
30/20
Memory
30/30
Quality
deepseek-r1-distill-qwe…
Reasoning
3/20
Coding
6/20
Instruction
6/20
Structured
3/15
Math
2/15
Multilingual
8/10
Reasoning: Poor Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Strong
qwen2.5:0.5b
Reasoning
6/20
Coding
6/20
Instruction
7/20
Structured
11/15
Math
5/15
Multilingual
4/10
Reasoning: Weak Coding: Weak Instruction Following: Weak Structured Output: Adequate Math: Weak Multilingual: Weak
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