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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

tinyllama-1.1b-chat-v1.0

LM-STUDIO GGUF

llama · 1.1B · Q3_K_M

Not Rec.

Mar 5, 2026 · Intel Core™ i5-5300U

Global Score
62 vs 33
Hardware Fit
77 vs 76
Quality Score
55 vs 14

Hardware

google/gemma-4-e4b tinyllama-1.1b-cha…
MachineLENOVO 82JQLENOVO 20BUS00700
CPUAMD Ryzen 7 5800HIntel Core™ i5-5300U
Cores164
RAM16 GB16 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUIntel(R) HD Graphics 5500
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Microsoft Windows 10 Professionnel 10.0.19045
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b tinyllama-1.1b-cha…
Tokens/sec27.69.9
First chunk23 ms3166 ms
TTFT480 ms3.2 s
Load timeN/AN/A
Memory usage13.2 GB0.5 GB
Memory %83%3%

HW Fit Score Breakdown

google/gemma-4-e4b

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

tinyllama-1.1b-chat-v1.0

Speed
32/50
TTFT
16/20
Memory
28/30

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

tinyllama-1.1b-chat-v1.0

Reasoning
2/20
Coding
1/20
Instruction
6/20
Structured
2/15
Math
1/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor 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