glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
mlx-community/gemma-3-1b-it-8bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Global Score
81 vs 72
Hardware Fit
89 vs 99
Quality Score
77 vs 61
Hardware
glm-4.7-flash:q4_K_M mlx-community/gemm…
MachineASUSMacBook Air
CPUIntel Core™ i5-14600KFApple M4
Cores2010
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
glm-4.7-flash:q4_K_M mlx-community/gemm…
Tokens/sec35.186.3
First chunk440 ms253 ms
TTFT440 ms253 ms
Load time11.6 sN/A
Memory usage18.4 GB1.1 GB
Memory %58%4%
HW Fit Score Breakdown
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
mlx-community/gemma-3-1…
Speed
50/50
TTFT
20/20
Memory
29/30
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
mlx-community/gemma-3-1…
Reasoning
7/20
Coding
14/20
Instruction
16/20
Structured
14/15
Math
2/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest