Back to leaderboard

unsloth/gemma-4-e2b-it@q8_0

LM-STUDIO GGUF

gemma4 · Q8_0

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

mlx-community/Nanbeige4.1-3B-8bit

LM-STUDIO GGUF
Marginal

Mar 5, 2026 · Apple M4

Global Score
75 vs 53
Hardware Fit
74 vs 99
Quality Score
76 vs 33

Hardware

unsloth/gemma-4-e2… mlx-community/Nanb…
MachineDocker ContainerMacBook Air
CPUIntel Gen Intel® Core™ i9-11900HApple M4
Cores1610
RAM15 GB32 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4
OSUbuntu 26.04 LTSmacOS 26.3
Archx64arm64
Power Modeperformancebalanced

Performance

unsloth/gemma-4-e2… mlx-community/Nanb…
Tokens/sec13.025.4
First chunk62 ms266 ms
TTFT1.5 s266 ms
Load time7.8 sN/A
Memory usage0.0 GB0.0 GB
Memory %0%0%

HW Fit Score Breakdown

unsloth/gemma-4-e2b-it@…

Speed
24/50
TTFT
20/20
Memory
30/30

mlx-community/Nanbeige4…

Speed
49/50
TTFT
20/20
Memory
30/30

Quality

unsloth/gemma-4-e2b-it@…

Reasoning
11/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

mlx-community/Nanbeige4…

Reasoning
10/20
Coding
7/20
Instruction
1/20
Structured
1/15
Math
11/15
Multilingual
3/10
Reasoning: Adequate Coding: Weak Instruction Following: Poor Structured Output: Poor Math: Adequate Multilingual: Weak
View unsloth/gemma-4-e2… details | View mlx-community/Nanb… details

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