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gemma-4-e4b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

qwen3.5:35b

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Good

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
77 vs 77
Hardware Fit
59 vs 53
Quality Score
84 vs 87

Hardware

gemma-4-e4b-it@q5_… qwen3.5:35b
MachineDocker ContainerASUS
CPUIntel Gen Intel® Core™ i9-11900HIntel Core™ i5-14600KF
Cores1620
RAM15 GB32 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce RTX 4070 Ti SUPER
OSUbuntu 26.04 LTSMicrosoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modeperformancebalanced

Performance

gemma-4-e4b-it@q5_… qwen3.5:35b
Tokens/sec9.316.0
First chunk51 ms719 ms
TTFT3.4 s719 ms
Load time12.2 s17.8 s
Memory usage0.0 GB25.0 GB
Memory %0%79%

HW Fit Score Breakdown

gemma-4-e4b-it@q5_k_xl

Speed
17/50
TTFT
12/20
Memory
30/30

qwen3.5:35b

Speed
23/50
TTFT
20/20
Memory
10/30

Quality

gemma-4-e4b-it@q5_k_xl

Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3.5:35b

Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View gemma-4-e4b-it@q5_… details | View qwen3.5:35b 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