Back to leaderboard

gemma4:e4b

OLLAMA GGUF

gemma4 · 8.0B · Q4_K_M

Excellent

Aug 22, 2026 · Apple M1 Pro

lmstudio-community/meta-llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q4_K_M

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
90 vs 78
Hardware Fit
87 vs 100
Quality Score
91 vs 69

Hardware

gemma4:e4b lmstudio-community…
MachineMacBook ProMac mini
CPUApple M1 ProApple M4 Pro
Cores1014
RAM16 GB64 GB
GPUApple M1 ProApple M4 Pro
OSmacOS 26.6.2macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e4b lmstudio-community…
Tokens/sec35.746.0
First chunk661 ms245 ms
TTFT6.5 s245 ms
Load time6.1 sN/A
Memory usage3.1 GB4.6 GB
Memory %19%7%

HW Fit Score Breakdown

gemma4:e4b

Speed
50/50
TTFT
7/20
Memory
30/30

lmstudio-community/meta…

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

gemma4:e4b

Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

lmstudio-community/meta…

Reasoning
11/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest