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glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

Global Score
81 vs 78
Hardware Fit
89 vs 68
Quality Score
77 vs 82

Hardware

glm-4.7-flash:q4_K_M google/gemma-4-e4b…
MachineASUSDocker Container
CPUIntel Core™ i5-14600KFIntel Gen Intel® Core™ i9-11900H
Cores2016
RAM32 GB15 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERTigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 11 Famille 10.0.26200Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

glm-4.7-flash:q4_K_M google/gemma-4-e4b…
Tokens/sec35.111.4
First chunk440 ms26 ms
TTFT440 ms2.2 s
Load time11.6 s5.9 s
Memory usage18.4 GB0.0 GB
Memory %58%0%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

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

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
Memory
30/30

Quality

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

google/gemma-4-e4b-it-qat

Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View glm-4.7-flash:q4_K_M details | View google/gemma-4-e4b… 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