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gemma-3-4b-it-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

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
80 vs 66
Hardware Fit
100 vs 100
Quality Score
71 vs 52

Hardware

gemma-3-4b-it-q4-k-m hf.co/empero-ai/Qw…
MachineMac ProMacBook Pro
CPUIntel Core™ i5-10400Apple M4
Cores1210
RAM32 GB16 GB
GPUAMD Radeon RX 6700 XTApple M4
OSmacOS 26.5.1macOS 26.6.1
Archx64arm64
Power Modebalancedbalanced

Performance

gemma-3-4b-it-q4-k-m hf.co/empero-ai/Qw…
Tokens/sec75.026.5
First chunk136 ms447 ms
TTFT136 ms447 ms
Load time0.0 s3.3 s
Memory usage0.8 GB4.8 GB
Memory %3%30%

HW Fit Score Breakdown

gemma-3-4b-it-q4-k-m

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

hf.co/empero-ai/Qwen3.8…

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

Quality

gemma-3-4b-it-q4-k-m

Reasoning
11/20
Coding
17/20
Instruction
14/20
Structured
14/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest