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

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

lmstudio-community/gemma-4-e2b-it

LM-STUDIO GGUF

gemma4 · Q8_0

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
66 vs 77
Hardware Fit
100 vs 75
Quality Score
52 vs 78

Hardware

hf.co/empero-ai/Qw… lmstudio-community…
MachineMacBook ProDocker Container
CPUApple M4Intel Gen Intel® Core™ i9-11900H
Cores1016
RAM16 GB15 GB
GPUApple M4TigerLake-H GT1 [UHD Graphics]
OSmacOS 26.6.1Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

hf.co/empero-ai/Qw… lmstudio-community…
Tokens/sec26.513.3
First chunk447 ms18 ms
TTFT447 ms1.4 s
Load time3.3 s8.1 s
Memory usage4.8 GB0.0 GB
Memory %30%0%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

lmstudio-community/gemm…

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

Quality

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

lmstudio-community/gemm…

Reasoning
12/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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