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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 26, 2026 · Apple M1 Pro

qwen2.5-coder-1.5b-instruct

LM-STUDIO GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score
66 vs 61
Hardware Fit
100 vs 69
Quality Score
52 vs 57

Hardware

hf.co/empero-ai/Qw… qwen2.5-coder-1.5b…
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-coder-1.5b…
Tokens/sec40.27.3
First chunk101 ms2369 ms
TTFT101 ms2.4 s
Load time2.6 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-coder-1.5b-inst…

Speed
25/50
TTFT
18/20
Memory
26/30

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-coder-1.5b-inst…

Reasoning
9/20
Coding
12/20
Instruction
13/20
Structured
12/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View hf.co/empero-ai/Qw… details | View qwen2.5-coder-1.5b… details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest