hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 22, 2026 · Apple M1 Pro
qwen2.5-1.5b-instruct
LM-STUDIO GGUFqwen2 · 1.5B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
Global Score
66 vs 61
Hardware Fit
100 vs 69
Quality Score
52 vs 58
Hardware
hf.co/empero-ai/Qw… qwen2.5-1.5b-instr…
MachineMacBook ProLENOVO 20BUS00700
CPUApple M1 ProIntel Core™ i5-5300U
Cores104
RAM16 GB16 GB
GPUApple M1 ProIntel(R) HD Graphics 5500
OSmacOS 26.6.2Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… qwen2.5-1.5b-instr…
Tokens/sec40.26.6
First chunk325 ms2277 ms
TTFT325 ms2.3 s
Load time3.1 sN/A
Memory usage4.7 GB0.9 GB
Memory %30%6%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen2.5-1.5b-instruct
Speed
23/50
TTFT
19/20
Memory
27/30
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
qwen2.5-1.5b-instruct
Reasoning
9/20
Coding
9/20
Instruction
13/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
Run yours and compare
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npm install -g metrillm@latest$
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