tinyllama

OLLAMA GGUF

Marginal

Mar 6, 2026 · Apple M4

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

LM-STUDIO MLX

qwen2 · 14B · 5bit

Not Rec.

Mar 11, 2026 · Apple M4

Global Score

43 vs 36

Hardware Fit

100 vs 53

Quality Score

19 vs 28

Hardware

tinyllama deepseek-r1-distil…

MachineMacBook AirMac mini

CPUApple M4Apple M4

Cores1010

RAM32 GB24 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

tinyllama deepseek-r1-distil…

Tokens/sec133.410.3

First chunk61 ms27 ms

TTFT61 ms20.7 s

Load time0.5 s15.4 s

Memory usage0.2 GB1.0 GB

Memory %1%4%

HW Fit Score Breakdown

tinyllama

Speed

50/50

TTFT

20/20

Memory

30/30

deepseek-r1-distill-qwe…

Speed

23/50

TTFT

0/20

Memory

30/30

Quality

tinyllama

Reasoning

2/20

Coding

2/20

Instruction

7/20

Structured

5/15

Math

0/15

Multilingual

3/10

Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Weak

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

View tinyllama details | View deepseek-r1-distil… details

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