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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

lfm2-24b-a2b

LM-STUDIO GGUF
Good

Mar 6, 2026 · Apple M4 Pro

Global Score
68 vs 78
Hardware Fit
93 vs 100
Quality Score
57 vs 68

Hardware

google/gemma-4-e4b lfm2-24b-a2b
MachineLENOVO 82JQMac mini
CPUAMD Ryzen 7 5800HApple M4 Pro
Cores1614
RAM16 GB64 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M4 Pro
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b lfm2-24b-a2b
Tokens/sec26.2105.9
First chunk17 ms252 ms
TTFT572 ms252 ms
Load timeN/AN/A
Memory usage6.5 GB0.1 GB
Memory %41%0%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

lfm2-24b-a2b

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

Quality

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor

lfm2-24b-a2b

Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate 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