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

LM-STUDIO MLX

qwen2 · 14B · 5bit

Not Rec.

Mar 11, 2026 · Apple M4

qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

Global Score
36 vs 85
Hardware Fit
53 vs 77
Quality Score
28 vs 88

Hardware

deepseek-r1-distil… qwen3.8:27b-bf16
MachineMac miniDell Inc. PowerEdge XE8545
CPUApple M4AMD EPYC 7713 64-Core Processor
Cores10128
RAM24 GB1007 GB
GPUApple M4GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSmacOS 26.3Rocky Linux 8.10
Archarm64x64
Power Modebalancedunknown

Performance

deepseek-r1-distil… qwen3.8:27b-bf16
Tokens/sec10.327.2
First chunk27 ms237 ms
TTFT20.7 s237 ms
Load time15.4 s43.8 s
Memory usage1.0 GB68.8 GB
Memory %4%7%

HW Fit Score Breakdown

deepseek-r1-distill-qwe…

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

qwen3.8:27b-bf16

Speed
27/50
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

qwen3.8:27b-bf16

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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