google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · Q4_K_M
Jul 7, 2026 · AMD Ryzen 7 5800H
qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
Global Score
68 vs 88
Hardware Fit
93 vs 70
Quality Score
57 vs 96
Hardware
google/gemma-4-e4b qwen3.8-27b-fable-…
MachineLENOVO 82JQMacBook Pro
CPUAMD Ryzen 7 5800HApple M4 Max
Cores1616
RAM16 GB128 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M4 Max
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b qwen3.8-27b-fable-…
Tokens/sec26.230.4
First chunk17 ms27 ms
TTFT572 ms4.4 s
Load timeN/AN/A
Memory usage6.5 GB19.9 GB
Memory %41%16%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
46/50
TTFT
20/20
Memory
27/30
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
Memory
30/30
Quality
google/gemma-4-e4b
Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor
qwen3.8-27b-fable-fusio…
Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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