mlx-community/gemma-3-1b-it-8bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
Global Score
72 vs 66
Hardware Fit
99 vs 100
Quality Score
61 vs 52
Hardware
mlx-community/gemm… hf.co/empero-ai/Qw…
MachineMacBook AirMacBook Pro
CPUApple M4Apple M4
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
mlx-community/gemm… hf.co/empero-ai/Qw…
Tokens/sec86.326.5
First chunk253 ms447 ms
TTFT253 ms447 ms
Load timeN/A3.3 s
Memory usage1.1 GB4.8 GB
Memory %4%30%
HW Fit Score Breakdown
mlx-community/gemma-3-1…
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
mlx-community/gemma-3-1…
Reasoning
7/20
Coding
14/20
Instruction
16/20
Structured
14/15
Math
2/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong
hf.co/empero-ai/Qwen3.8…
Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
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