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gemma-4-e2b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

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

qwen3.5-0.8b

LM-STUDIO GGUF

qwen35 · 0.8B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score
79 vs 48
Hardware Fit
81 vs 61
Quality Score
78 vs 42

Hardware

gemma-4-e2b-it@q5_… qwen3.5-0.8b
MachineDocker ContainerLENOVO 20BUS00700
CPUIntel Gen Intel® Core™ i9-11900HIntel Core™ i5-5300U
Cores164
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]Intel(R) HD Graphics 5500
OSUbuntu 26.04 LTSMicrosoft Windows 10 Professionnel 10.0.19045
Archx64x64
Power Modeperformancebalanced

Performance

gemma-4-e2b-it@q5_… qwen3.5-0.8b
Tokens/sec17.26.2
First chunk7 ms4461 ms
TTFT1.6 s4.5 s
Load time8.9 sN/A
Memory usage0.0 GB0.7 GB
Memory %0%4%

HW Fit Score Breakdown

gemma-4-e2b-it@q5_k_xl

Speed
32/50
TTFT
19/20
Memory
30/30

qwen3.5-0.8b

Speed
22/50
TTFT
12/20
Memory
27/30

Quality

gemma-4-e2b-it@q5_k_xl

Reasoning
11/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3.5-0.8b

Reasoning
10/20
Coding
2/20
Instruction
10/20
Structured
12/15
Math
2/15
Multilingual
6/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View gemma-4-e2b-it@q5_… details | View qwen3.5-0.8b 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