Back to leaderboard

gemma-4-e2b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Excellent

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

smollm2-1.7b-instruct

LM-STUDIO GGUF

llama · 1.7B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score
81 vs 48
Hardware Fit
90 vs 63
Quality Score
77 vs 41

Hardware

gemma-4-e2b-it-qat smollm2-1.7b-instr…
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-qat smollm2-1.7b-instr…
Tokens/sec22.26.6
First chunk67 ms3184 ms
TTFT1.1 s3.2 s
Load time5.4 sN/A
Memory usage0.0 GB1.0 GB
Memory %0%6%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

Speed
40/50
TTFT
20/20
Memory
30/30

smollm2-1.7b-instruct

Speed
23/50
TTFT
15/20
Memory
25/30

Quality

gemma-4-e2b-it-qat

Reasoning
10/20
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

smollm2-1.7b-instruct

Reasoning
5/20
Coding
7/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

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