gemma4:e4b-it-q8_0
OLLAMA GGUFgemma4 · 8.0B · Q8_0
Aug 25, 2026 · Apple M1 Pro
qwen2-57b:57B
OLLAMA GGUFqwen2moe · 57.4B · Q4_K_M
Aug 18, 2026 · Intel Core™ i7-14700F
Global Score
88 vs 69
Hardware Fit
100 vs 51
Quality Score
83 vs 76
Hardware
gemma4:e4b-it-q8_0 qwen2-57b:57B
MachineMacBook ProHP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPUApple M1 ProIntel Core™ i7-14700F
Cores1028
RAM16 GB64 GB
GPUApple M1 ProNVIDIA GeForce RTX 5080
OSmacOS 26.6.2Microsoft Windows 11 Enterprise 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
gemma4:e4b-it-q8_0 qwen2-57b:57B
Tokens/sec27.87.7
First chunk204 ms940 ms
TTFT204 ms940 ms
Load time6.6 s0.2 s
Memory usage5.0 GB33.3 GB
Memory %31%52%
HW Fit Score Breakdown
gemma4:e4b-it-q8_0
Speed
50/50
TTFT
20/20
Memory
30/30
qwen2-57b:57B
Speed
8/50
TTFT
19/20
Memory
24/30
Quality
gemma4:e4b-it-q8_0
Reasoning
14/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
qwen2-57b:57B
Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong 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