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qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Not Rec.

Apr 29, 2026 · Intel Core™ i5-8350U

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
18 vs 83
Hardware Fit
53 vs 96
Quality Score
3 vs 78

Hardware

qwen3.5:0.8b google/gemma-4-e4b
MachineLENOVO 20L7CTO1WWASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUIntel Core™ i5-8350UAMD Ryzen 9 8940HX
Cores832
RAM23 GB15 GB
GPUKaby Lake-R GT2 [UHD Graphics 620]NVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSFedora Linux 43Microsoft Windows 11 Home Single Language 10.0.26200
Archx64x64
Power Modelow-powerbalanced

Performance

qwen3.5:0.8b google/gemma-4-e4b
Tokens/sec9.435.9
First chunk799 ms9 ms
TTFT30.0 s182 ms
Load time3.3 sN/A
Memory usage1.9 GB6.5 GB
Memory %8%43%

HW Fit Score Breakdown

qwen3.5:0.8b

Speed
23/50
TTFT
0/20
Memory
30/30

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

Quality

qwen3.5:0.8b

Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
0/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3.5:0.8b details | View google/gemma-4-e4b 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