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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K

Global Score
62 vs 90
Hardware Fit
77 vs 97
Quality Score
55 vs 87

Hardware

google/gemma-4-e4b Qwen3.8-27B-UD-Q3_…
MachineLENOVO 82JQ—
CPUAMD Ryzen 7 5800HIntel Gen Intel® Core™ i5-12600K
Cores1616
RAM16 GB31 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

google/gemma-4-e4b Qwen3.8-27B-UD-Q3_…
Tokens/sec27.639.0
First chunk23 ms305 ms
TTFT480 ms305 ms
Load timeN/A0.0 s
Memory usage13.2 GB12.5 GB
Memory %83%41%

HW Fit Score Breakdown

google/gemma-4-e4b

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

Qwen3.8-27B-UD-Q3_K_XL

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

Qwen3.8-27B-UD-Q3_K_XL

Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View Qwen3.8-27B-UD-Q3_… 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