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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

mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

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

Global Score
81 vs 73
Hardware Fit
84 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/sec47.331.7
First chunk23 ms102 ms
TTFT1.9 s102 ms
Load timeN/A14.3 s
Memory usage13.2 GB4.8 GB
Memory %11%30%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
44/50
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
View google/gemma-4-e4b details | View mistral:latest details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest