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deepseek-r1-distill-qwen-14b-mlx

LM-STUDIO MLX

qwen2 · 14B · 5bit

Not Rec.

Mar 11, 2026 · Apple M4

qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

Global Score
36 vs 65
Hardware Fit
53 vs 92
Quality Score
28 vs 54

Hardware

deepseek-r1-distil… qwen2.5:1.5b
MachineMac miniiMac
CPUApple M4Intel Core™ i7-4771
Cores108
RAM24 GB32 GB
GPUApple M4NVIDIA GeForce GTX 780M
OSmacOS 26.3macOS 15.7.3
Archarm64x64
Power Modebalancedbalanced

Performance

deepseek-r1-distil… qwen2.5:1.5b
Tokens/sec10.319.6
First chunk27 ms690 ms
TTFT20.7 s690 ms
Load time15.4 s21.4 s
Memory usage1.0 GB1.0 GB
Memory %4%3%

HW Fit Score Breakdown

deepseek-r1-distill-qwe…

Speed
23/50
TTFT
0/20
Memory
30/30

qwen2.5:1.5b

Speed
42/50
TTFT
20/20
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

qwen2.5:1.5b

Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest