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deepscaler:1.5b

OLLAMA GGUF

qwen2 · 1.8B · F16

Good

Oct 11, 2026 · AMD Ryzen 5 5500

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
64 vs 89
Hardware Fit
98 vs 95
Quality Score
49 vs 87

Hardware

deepscaler:1.5b qwen/qwen3-8b
MachineMicrosoft WSLMac mini
CPUAMD Ryzen 5 5500Apple M4 Pro
Cores1214
RAM8 GB64 GB
GPUIntegrated / UnknownApple M4 Pro
OSUbuntu 26.04.1 LTSmacOS 15.7.4
Archx64arm64
Power Modeunknownbalanced

Performance

deepscaler:1.5b qwen/qwen3-8b
Tokens/sec104.633.4
First chunk849 ms257 ms
TTFT850 ms257 ms
Load time10.5 sN/A
Memory usage3.0 GB4.3 GB
Memory %40%7%

HW Fit Score Breakdown

deepscaler:1.5b

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

qwen/qwen3-8b

Speed
45/50
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

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View deepscaler:1.5b details | View qwen/qwen3-8b 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