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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

smollm2-1.7b-instruct

LM-STUDIO GGUF

llama · 1.7B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score
81 vs 48
Hardware Fit
89 vs 63
Quality Score
77 vs 41

Hardware

glm-4.7-flash:q4_K_M smollm2-1.7b-instr…
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 smollm2-1.7b-instr…
Tokens/sec35.16.6
First chunk440 ms3184 ms
TTFT440 ms3.2 s
Load time11.6 sN/A
Memory usage18.4 GB1.0 GB
Memory %58%6%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

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

smollm2-1.7b-instruct

Speed
23/50
TTFT
15/20
Memory
25/30

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

smollm2-1.7b-instruct

Reasoning
5/20
Coding
7/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
View glm-4.7-flash:q4_K_M details | View smollm2-1.7b-instr… details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest