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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

qwen2.5-coder:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Good

Mar 5, 2026 · Intel Gen Intel® Core™ i7-13700K

Global Score
81 vs 68
Hardware Fit
84 vs 59
Quality Score
79 vs 72

Hardware

google/gemma-4-e4b qwen2.5-coder:7b
MachineGMKtec EVO-X3ASUS
CPUAMD RYZEN AI MAX+ 395Intel Gen Intel® Core™ i7-13700K
Cores3224
RAM120 GB64 GB
GPUAMD Radeon(TM) 8060S GraphicsNVIDIA GeForce RTX 3070
OSMicrosoft Windows 11 Pro 10.0.26300Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedunknown

Performance

google/gemma-4-e4b qwen2.5-coder:7b
Tokens/sec47.334.4
First chunk23 ms1991 ms
TTFT1.9 s2.0 s
Load timeN/A40.6 s
Memory usage13.2 GB5.0 GB
Memory %11%8%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen2.5-coder:7b

Speed
38/50
TTFT
12/20
Memory
9/30

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

qwen2.5-coder:7b

Reasoning
11/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
9/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-e4b details | View qwen2.5-coder:7b 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