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gemma-4-e4b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
77 vs 81
Hardware Fit
59 vs 89
Quality Score
84 vs 77

Hardware

gemma-4-e4b-it@q5_… glm-4.7-flash:q4_K_M
MachineDocker ContainerASUS
CPUIntel Gen Intel® Core™ i9-11900HIntel Core™ i5-14600KF
Cores1620
RAM15 GB32 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce RTX 4070 Ti SUPER
OSUbuntu 26.04 LTSMicrosoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modeperformancebalanced

Performance

gemma-4-e4b-it@q5_… glm-4.7-flash:q4_K_M
Tokens/sec9.335.1
First chunk51 ms440 ms
TTFT3.4 s440 ms
Load time12.2 s11.6 s
Memory usage0.0 GB18.4 GB
Memory %0%58%

HW Fit Score Breakdown

gemma-4-e4b-it@q5_k_xl

Speed
17/50
TTFT
12/20
Memory
30/30

glm-4.7-flash:q4_K_M

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

Quality

gemma-4-e4b-it@q5_k_xl

Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

glm-4.7-flash:q4_K_M

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
View gemma-4-e4b-it@q5_… details | View glm-4.7-flash:q4_K_M 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