google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

hf.co/LiquidAI/LFM2.5-2.6B-GGUF:F16

OLLAMA GGUF

lfm2 · 2.7B · unknown

Good

Aug 25, 2026 · Apple M1 Pro

Global Score

76 vs 61

Hardware Fit

100 vs 97

Quality Score

66 vs 46

Hardware

google/gemma-3-4b hf.co/LiquidAI/LFM…

MachineMacBook AirMacBook Pro

CPUApple M4Apple M1 Pro

Cores1010

RAM32 GB16 GB

GPUApple M4Apple M1 Pro

OSmacOS 26.3macOS 26.6.2

Archarm64arm64

Power Modebalancedbalanced

Performance

google/gemma-3-4b hf.co/LiquidAI/LFM…

Tokens/sec39.431.0

First chunk468 ms129 ms

TTFT468 ms129 ms

Load timeN/A3.5 s

Memory usage2.8 GB6.6 GB

Memory %9%41%

HW Fit Score Breakdown

google/gemma-3-4b

Speed

50/50

TTFT

20/20

Memory

30/30

hf.co/LiquidAI/LFM2.5-2…

Speed

50/50

TTFT

20/20

Memory

27/30

Quality

google/gemma-3-4b

Reasoning

10/20

Coding

17/20

Instruction

13/20

Structured

12/15

Math

4/15

Multilingual

10/10

Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

hf.co/LiquidAI/LFM2.5-2…

Reasoning

14/20

Coding

13/20

Instruction

3/20

Structured

0/15

Math

14/15

Multilingual

2/10

Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor

View google/gemma-3-4b details | View hf.co/LiquidAI/LFM… 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