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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

falcon-h1-1.5b-instruct

LM-STUDIO GGUF

falcon-h1 · 1.5B · Q4_K_M

Good

Mar 8, 2026 · Intel Core™ i5-5300U

Global Score
66 vs 63
Hardware Fit
100 vs 54
Quality Score
52 vs 67

Hardware

hf.co/empero-ai/Qw… falcon-h1-1.5b-ins…
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… falcon-h1-1.5b-ins…
Tokens/sec40.26.6
First chunk325 ms8225 ms
TTFT325 ms8.2 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

falcon-h1-1.5b-instruct

Speed
23/50
TTFT
6/20
Memory
25/30

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

falcon-h1-1.5b-instruct

Reasoning
13/20
Coding
14/20
Instruction
14/20
Structured
11/15
Math
7/15
Multilingual
8/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Weak Multilingual: Strong

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