hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
glm-4.7-flash:latest
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 22, 2026 · AMD RYZEN AI MAX+ 395
Global Score
76 vs 86
Hardware Fit
100 vs 74
Quality Score
66 vs 91
Hardware
hf.co/empero-ai/Qw… glm-4.7-flash:latest
MachineMacBook ProAZW GTR Pro
CPUApple M1 ProAMD RYZEN AI MAX+ 395
Cores1032
RAM16 GB125 GB
GPUApple M1 ProRadeon 8060S
OSmacOS 26.6.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance
Performance
hf.co/empero-ai/Qw… glm-4.7-flash:latest
Tokens/sec40.347.8
First chunk101 ms194 ms
TTFT101 ms30.0 s
Load time2.7 s7.4 s
Memory usage4.5 GB37.7 GB
Memory %28%30%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
glm-4.7-flash:latest
Speed
44/50
TTFT
0/20
Memory
30/30
Quality
hf.co/empero-ai/Qwen3.8…
Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
glm-4.7-flash:latest
Reasoning
19/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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