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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

May 27, 2026 · AMD Ryzen 5 2600X Six-Core Processor

Global Score
80 vs 73
Hardware Fit
83 vs 100
Quality Score
79 vs 62

Hardware

google/gemma-4-e4b mistral:latest
MachineGMKtec EVO-X3Micro-Star International Co., Ltd. MS-7B79
CPUAMD RYZEN AI MAX+ 395AMD Ryzen 5 2600X Six-Core Processor
Cores3212
RAM120 GB16 GB
GPUAMD Radeon(TM) 8060S GraphicsNVIDIA GeForce GTX 1080
OSMicrosoft Windows 11 Pro 10.0.26300Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b mistral:latest
Tokens/sec46.531.7
First chunk14 ms102 ms
TTFT1.9 s102 ms
Load time7.6 s14.3 s
Memory usage0.0 GB4.8 GB
Memory %0%30%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
43/50
TTFT
10/20
Memory
30/30

mistral:latest

Speed
50/50
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

mistral:latest

Reasoning
8/20
Coding
13/20
Instruction
16/20
Structured
12/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak 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