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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

adityakale/kotakneo

OLLAMA GGUF
Good

Aug 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
81 vs 77
Hardware Fit
89 vs 100
Quality Score
77 vs 67

Hardware

glm-4.7-flash:q4_K_M adityakale/kotakneo
MachineASUSAZW GTR Pro
CPUIntel Core™ i5-14600KFAMD RYZEN AI MAX+ 395
Cores2032
RAM32 GB125 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERRadeon 8060S
OSMicrosoft Windows 11 Famille 10.0.26200Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

glm-4.7-flash:q4_K_M adityakale/kotakneo
Tokens/sec35.181.2
First chunk440 ms183 ms
TTFT440 ms183 ms
Load time11.6 s2.5 s
Memory usage18.4 GB17.8 GB
Memory %58%14%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

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

adityakale/kotakneo

Speed
50/50
TTFT
20/20
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

adityakale/kotakneo

Reasoning
11/20
Coding
14/20
Instruction
16/20
Structured
14/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong
View glm-4.7-flash:q4_K_M details | View adityakale/kotakneo 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