Back to leaderboard

deepscaler:1.5b

OLLAMA GGUF

qwen2 · 1.8B · F16

Good

Oct 11, 2026 · AMD Ryzen 5 5500

hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

Global Score
64 vs 66
Hardware Fit
98 vs 100
Quality Score
49 vs 52

Hardware

deepscaler:1.5b hf.co/empero-ai/Qw…
MachineMicrosoft WSLMacBook Pro
CPUAMD Ryzen 5 5500Apple M4
Cores1210
RAM8 GB16 GB
GPUIntegrated / UnknownApple M4
OSUbuntu 26.04.1 LTSmacOS 26.6.1
Archx64arm64
Power Modeunknownbalanced

Performance

deepscaler:1.5b hf.co/empero-ai/Qw…
Tokens/sec104.626.5
First chunk849 ms447 ms
TTFT850 ms447 ms
Load time10.5 s3.3 s
Memory usage3.0 GB4.8 GB
Memory %40%30%

HW Fit Score Breakdown

deepscaler:1.5b

Speed
50/50
TTFT
20/20
Memory
28/30

hf.co/empero-ai/Qwen3.8…

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

Quality

deepscaler:1.5b

Reasoning
10/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
11/15
Multilingual
5/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Adequate Multilingual: Weak

hf.co/empero-ai/Qwen3.8…

Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
View deepscaler:1.5b details | View hf.co/empero-ai/Qw… 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