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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

gemma-3-1b-it

LM-STUDIO GGUF

gemma3 · 1B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

Global Score
81 vs 59
Hardware Fit
89 vs 76
Quality Score
77 vs 52

Hardware

glm-4.7-flash:q4_K_M gemma-3-1b-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-3-1b-it
Tokens/sec35.18.7
First chunk440 ms2078 ms
TTFT440 ms2.1 s
Load time11.6 sN/A
Memory usage18.4 GB0.8 GB
Memory %58%5%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

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

gemma-3-1b-it

Speed
29/50
TTFT
19/20
Memory
28/30

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-3-1b-it

Reasoning
4/20
Coding
11/20
Instruction
14/20
Structured
13/15
Math
2/15
Multilingual
8/10
Reasoning: Poor Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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