mlx-community/Nanbeige4.1-3B-8bit

LM-STUDIO GGUF

Marginal

Mar 5, 2026 · Apple M4

hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 26, 2026 · Apple M1 Pro

Global Score

53 vs 66

Hardware Fit

99 vs 100

Quality Score

33 vs 52

Hardware

mlx-community/Nanb… hf.co/empero-ai/Qw…

MachineMacBook AirMacBook Pro

CPUApple M4Apple M1 Pro

Cores1010

RAM32 GB16 GB

GPUApple M4Apple M1 Pro

OSmacOS 26.3macOS 26.6.2

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/Nanb… hf.co/empero-ai/Qw…

Tokens/sec25.440.2

First chunk266 ms101 ms

TTFT266 ms101 ms

Load timeN/A2.6 s

Memory usage0.0 GB4.7 GB

Memory %0%30%

HW Fit Score Breakdown

mlx-community/Nanbeige4…

Speed

49/50

TTFT

20/20

Memory

30/30

hf.co/empero-ai/Qwen3.8…

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

mlx-community/Nanbeige4…

Reasoning

10/20

Coding

7/20

Instruction

1/20

Structured

1/15

Math

11/15

Multilingual

3/10

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

hf.co/empero-ai/Qwen3.8…

Reasoning

15/20

Coding

9/20

Instruction

8/20

Structured

1/15

Math

15/15

Multilingual

4/10

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

View mlx-community/Nanb… details | View hf.co/empero-ai/Qw… details

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$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest