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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

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

OLLAMA GGUF

lfm2 · 2.7B · unknown

Good

Aug 23, 2026 · Apple M1 Pro

Global Score
62 vs 61
Hardware Fit
77 vs 97
Quality Score
55 vs 46

Hardware

google/gemma-4-e4b hf.co/LiquidAI/LFM…
MachineLENOVO 82JQMacBook Pro
CPUAMD Ryzen 7 5800HApple M1 Pro
Cores1610
RAM16 GB16 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M1 Pro
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b hf.co/LiquidAI/LFM…
Tokens/sec27.631.4
First chunk23 ms138 ms
TTFT480 ms138 ms
Load timeN/A3.7 s
Memory usage13.2 GB6.6 GB
Memory %83%41%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

hf.co/LiquidAI/LFM2.5-2…

Speed
50/50
TTFT
20/20
Memory
27/30

Quality

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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

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