gemma4:e2b-mlx
OLLAMA GGUFAug 25, 2026 · Apple M1 Pro
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
Global Score
82 vs 76
Hardware Fit
99 vs 100
Quality Score
75 vs 66
Hardware
gemma4:e2b-mlx hf.co/empero-ai/Qw…
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Pro
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M1 Pro
OSmacOS 26.6.2macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e2b-mlx hf.co/empero-ai/Qw…
Tokens/sec70.440.3
First chunk96 ms101 ms
TTFT96 ms101 ms
Load time2.5 s2.7 s
Memory usage5.7 GB4.5 GB
Memory %36%28%
HW Fit Score Breakdown
gemma4:e2b-mlx
Speed
50/50
TTFT
20/20
Memory
29/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma4:e2b-mlx
Reasoning
14/20
Coding
14/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
hf.co/empero-ai/Qwen3.8…
Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest