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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

lfm2-24b-a2b

LM-STUDIO GGUF
Not Rec.

Mar 6, 2026 · Apple M4 Pro

Global Score
81 vs 18
Hardware Fit
89 vs 59
Quality Score
77 vs 0

Hardware

glm-4.7-flash:q4_K_M lfm2-24b-a2b
MachineASUSMac mini
CPUIntel Core™ i5-14600KFApple M4 Pro
Cores2014
RAM32 GB64 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4 Pro
OSMicrosoft Windows 11 Famille 10.0.26200macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

glm-4.7-flash:q4_K_M lfm2-24b-a2b
Tokens/sec35.16.6
First chunk440 ms1025 ms
TTFT440 ms1.0 s
Load time11.6 sN/A
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

lfm2-24b-a2b

Speed
9/50
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

lfm2-24b-a2b

Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
View glm-4.7-flash:q4_K_M details | View lfm2-24b-a2b 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