mlx-community/gemma-3-4b-it-qat-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
qwen3.8:27b-bf16
OLLAMA GGUFqwen35 · 27.3B · BF16
Aug 22, 2026 · AMD EPYC 7713 64-Core Processor
Global Score
80 vs 85
Hardware Fit
100 vs 77
Quality Score
71 vs 88
Hardware
mlx-community/gemm… qwen3.8:27b-bf16
MachineMacBook AirDell Inc. PowerEdge XE8545
CPUApple M4AMD EPYC 7713 64-Core Processor
Cores10128
RAM32 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
mlx-community/gemm… qwen3.8:27b-bf16
Tokens/sec43.227.2
First chunk428 ms237 ms
TTFT428 ms237 ms
Load timeN/A43.8 s
Memory usage1.3 GB68.8 GB
Memory %4%7%
HW Fit Score Breakdown
mlx-community/gemma-3-4…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.8:27b-bf16
Speed
27/50
TTFT
20/20
Memory
30/30
Quality
mlx-community/gemma-3-4…
Reasoning
9/20
Coding
17/20
Instruction
17/20
Structured
13/15
Math
5/15
Multilingual
10/10
Reasoning: Weak Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak 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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest