Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

qwen3.8:27b-q8_0

OLLAMA GGUF

qwen35 · 27.3B · Q8_0

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

Global Score
59 vs 89
Hardware Fit
62 vs 88
Quality Score
58 vs 89

Hardware

google/gemma-4-e4b qwen3.8:27b-q8_0
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMDell Inc. PowerEdge XE8545
CPUAMD Ryzen 7 4800HAMD EPYC 7713 64-Core Processor
Cores16128
RAM15 GB1007 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSMicrosoft Windows 11 Pro 10.0.26200Rocky Linux 8.10
Archx64x64
Power Modebalancedunknown

Performance

google/gemma-4-e4b qwen3.8:27b-q8_0
Tokens/sec7.140.0
First chunk41 ms177 ms
TTFT1.2 s177 ms
Load time71.7 s24.7 s
Memory usage0.9 GB51.0 GB
Memory %6%5%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3.8:27b-q8_0

Speed
38/50
TTFT
20/20
Memory
30/30

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

qwen3.8:27b-q8_0

Reasoning
18/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-e4b details | View qwen3.8:27b-q8_0 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