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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Global Score
83 vs 76
Hardware Fit
96 vs 73
Quality Score
78 vs 77

Hardware

google/gemma-4-e4b glm-4.7-flash:bf16
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHNVIDIA NVIDIA_DGX_Spark
CPUAMD Ryzen 9 8940HXCortex-X925
Cores3220
RAM15 GB122 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MDevice 2e12
OSMicrosoft Windows 11 Home Single Language 10.0.26200Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

google/gemma-4-e4b glm-4.7-flash:bf16
Tokens/sec35.925.8
First chunk9 ms605 ms
TTFT182 ms605 ms
Load timeN/A44.2 s
Memory usage6.5 GB57.0 GB
Memory %43%47%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

glm-4.7-flash:bf16

Speed
27/50
TTFT
20/20
Memory
26/30

Quality

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

glm-4.7-flash:bf16

Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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