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hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 22, 2026 · Apple M1 Pro

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score
66 vs 65
Hardware Fit
100 vs 88
Quality Score
52 vs 55

Hardware

hf.co/empero-ai/Qw… glm-4.6v-flash
MachineMacBook ProMac Studio
CPUApple M1 ProApple M2 Max
Cores1012
RAM16 GB96 GB
GPUApple M1 ProApple M2 Max
OSmacOS 26.6.2macOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… glm-4.6v-flash
Tokens/sec40.249.9
First chunk325 ms27 ms
TTFT325 ms3.7 s
Load time3.1 s2.7 s
Memory usage4.7 GB0.0 GB
Memory %30%0%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

glm-4.6v-flash

Speed
50/50
TTFT
8/20
Memory
30/30

Quality

hf.co/empero-ai/Qwen3.8…

Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

glm-4.6v-flash

Reasoning
0/20
Coding
16/20
Instruction
12/20
Structured
2/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Strong Instruction Following: Adequate Structured Output: Poor Math: Strong Multilingual: Strong
View hf.co/empero-ai/Qw… details | View glm-4.6v-flash details

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$ metrillm

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Or run without installing: npx metrillm@latest