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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Oct 31, 2026 · AMD RYZEN AI MAX+ 395

qwen3.8:27b-q8_0

OLLAMA GGUF

qwen35 · 27.3B · Q8_0

Excellent

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

Global Score
81 vs 89
Hardware Fit
84 vs 88
Quality Score
79 vs 89

Hardware

google/gemma-4-e4b qwen3.8:27b-q8_0
MachineGMKtec EVO-X3Dell Inc. PowerEdge XE8545
CPUAMD RYZEN AI MAX+ 395AMD EPYC 7713 64-Core Processor
Cores32128
RAM120 GB1007 GB
GPUAMD Radeon(TM) 8060S GraphicsGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSMicrosoft Windows 11 Pro 10.0.26300Rocky Linux 8.10
Archx64x64
Power Modebalancedunknown

Performance

google/gemma-4-e4b qwen3.8:27b-q8_0
Tokens/sec47.339.9
First chunk23 ms192 ms
TTFT1.9 s192 ms
Load timeN/A19.0 s
Memory usage13.2 GB51.0 GB
Memory %11%5%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
44/50
TTFT
10/20
Memory
30/30

qwen3.8:27b-q8_0

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

Quality

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak 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