Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

lfm2:24b-a2b

OLLAMA GGUF

lfm2moe · 23.8B · Q4_K_M

Good

May 24, 2026 · Intel Gen Intel® Core™ i7-1355U

Global Score
59 vs 78
Hardware Fit
62 vs 67
Quality Score
58 vs 82

Hardware

google/gemma-4-e4b lfm2:24b-a2b
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMDell Inc. Inspiron 15 3530
CPUAMD Ryzen 7 4800HIntel Gen Intel® Core™ i7-1355U
Cores1612
RAM15 GB31 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPURaptor Lake-P [Iris Xe Graphics]
OSMicrosoft Windows 11 Pro 10.0.26200cachyos rolling
Archx64x64
Power Modebalancedlow-power

Performance

google/gemma-4-e4b lfm2:24b-a2b
Tokens/sec7.111.5
First chunk41 ms1727 ms
TTFT1.2 s1.7 s
Load time71.7 s6.8 s
Memory usage0.9 GB13.9 GB
Memory %6%45%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
12/50
TTFT
20/20
Memory
30/30

lfm2:24b-a2b

Speed
22/50
TTFT
19/20
Memory
26/30

Quality

google/gemma-4-e4b

Reasoning
6/20
Coding
14/20
Instruction
12/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

lfm2:24b-a2b

Reasoning
13/20
Coding
17/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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