richardyoung/qwythos-9b-abliterated:Q8_0
OLLAMA GGUFqwen35 · 9.0B · Q8_0
Jun 28, 2026 · Apple M4 Pro
glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
65 vs 81
Hardware Fit
96 vs 89
Quality Score
52 vs 77
Hardware
richardyoung/qwyth… glm-4.7-flash:q4_K_M
MachineMac miniASUS
CPUApple M4 ProIntel Core™ i5-14600KF
Cores1220
RAM24 GB32 GB
GPUApple M4 ProNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 15.6.1Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
richardyoung/qwyth… glm-4.7-flash:q4_K_M
Tokens/sec25.335.1
First chunk397 ms440 ms
TTFT397 ms440 ms
Load time6.3 s11.6 s
Memory usage8.3 GB18.4 GB
Memory %34%58%
HW Fit Score Breakdown
richardyoung/qwythos-9b…
Speed
47/50
TTFT
20/20
Memory
29/30
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
Quality
richardyoung/qwythos-9b…
Reasoning
18/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
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
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