deepseek-r1-distill-qwen-14b-mlx
LM-STUDIO MLXqwen2 · 14B · 5bit
Mar 11, 2026 · Apple M4
stablelm2:1.6b
OLLAMA GGUFstablelm · 2B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
36 vs 45
Hardware Fit
53 vs 100
Quality Score
28 vs 22
Hardware
deepseek-r1-distil… stablelm2:1.6b
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… stablelm2:1.6b
Tokens/sec10.393.8
First chunk27 msN/A
TTFT20.7 s94 ms
Load time15.4 s0.4 s
Memory usage1.0 GB1.1 GB
Memory %4%3%
HW Fit Score Breakdown
deepseek-r1-distill-qwe…
Speed
23/50
TTFT
0/20
Memory
30/30
stablelm2:1.6b
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
stablelm2:1.6b
Reasoning
4/20
Coding
7/20
Instruction
6/20
Structured
1/15
Math
2/15
Multilingual
2/10
Reasoning: Poor Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
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