hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
lmstudio-community/gemma-4-26b-a4b-it
LM-STUDIO GGUFgemma4 · 26B · Q4_K_M
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
66 vs 81
Hardware Fit
100 vs 56
Quality Score
52 vs 91
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/sec26.59.9
First chunk447 ms145 ms
TTFT447 ms4.4 s
Load time3.3 s48.3 s
Memory usage4.8 GB5.6 GB
Memory %30%37%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
lmstudio-community/gemm…
Speed
18/50
TTFT
10/20
Memory
28/30
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
17/20
Coding
19/20
Instruction
18/20
Structured
14/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest