glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

gemma-2-2b-it

LM-STUDIO GGUF

gemma2 · 2B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score

81 vs 58

Hardware Fit

89 vs 50

Quality Score

77 vs 62

Hardware

glm-4.7-flash:q4_K_M gemma-2-2b-it

MachineASUSLENOVO 20BUS00700

CPUIntel Core™ i5-14600KFIntel Core™ i5-5300U

Cores204

RAM32 GB16 GB

GPUNVIDIA GeForce RTX 4070 Ti SUPERIntel(R) HD Graphics 5500

OSMicrosoft Windows 11 Famille 10.0.26200Microsoft Windows 10 Professionnel 10.0.19045

Archx64x64

Power Modebalancedbalanced

Performance

glm-4.7-flash:q4_K_M gemma-2-2b-it

Tokens/sec35.13.6

First chunk440 ms4509 ms

TTFT440 ms4.5 s

Load time11.6 sN/A

Memory usage18.4 GB1.6 GB

Memory %58%10%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

Speed

49/50

TTFT

20/20

Memory

20/30

gemma-2-2b-it

Speed

14/50

TTFT

12/20

Memory

24/30

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

gemma-2-2b-it

Reasoning

11/20

Coding

8/20

Instruction

14/20

Structured

15/15

Math

4/15

Multilingual

10/10

Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

View glm-4.7-flash:q4_K_M details | View gemma-2-2b-it 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