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

LM-STUDIO MLX

qwen2 · 14B · 5bit

Not Rec.

Mar 11, 2026 · Apple M4

hf.co/unsloth/Qwen3.8-27B-GGUF:UD-IQ1_M

OLLAMA GGUF

qwen35 · 27.3B · unknown

Good

Aug 21, 2026 · AMD RYZEN AI MAX+ 395

Global Score

36 vs 68

Hardware Fit

53 vs 69

Quality Score

28 vs 67

Hardware

deepseek-r1-distil… hf.co/unsloth/Qwen…

MachineMac miniAZW GTR Pro

CPUApple M4AMD RYZEN AI MAX+ 395

Cores1032

RAM24 GB125 GB

GPUApple M4Radeon 8060S

OSmacOS 26.3Ubuntu 24.04.4 LTS

Archarm64x64

Power Modebalancedlow-power

Performance

deepseek-r1-distil… hf.co/unsloth/Qwen…

Tokens/sec10.321.1

First chunk27 ms571 ms

TTFT20.7 s571 ms

Load time15.4 s4.9 s

Memory usage1.0 GB22.7 GB

Memory %4%18%

HW Fit Score Breakdown

deepseek-r1-distill-qwe…

Speed

23/50

TTFT

0/20

Memory

30/30

hf.co/unsloth/Qwen3.8-2…

Speed

20/50

TTFT

19/20

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

hf.co/unsloth/Qwen3.8-2…

Reasoning

12/20

Coding

10/20

Instruction

10/20

Structured

15/15

Math

10/15

Multilingual

10/10

Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

View deepseek-r1-distil… details | View hf.co/unsloth/Qwen… 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