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google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

yi-coder-1.5b-chat

LM-STUDIO GGUF

llama · 1.5B · Q4_K_M

Marginal

Mar 7, 2026 · Intel Core™ i5-5300U

Global Score
78 vs 45
Hardware Fit
68 vs 67
Quality Score
82 vs 35

Hardware

google/gemma-4-e4b… yi-coder-1.5b-chat
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

google/gemma-4-e4b… yi-coder-1.5b-chat
Tokens/sec11.47.7
First chunk26 ms2668 ms
TTFT2.2 s2.7 s
Load time5.9 sN/A
Memory usage0.0 GB0.9 GB
Memory %0%6%

HW Fit Score Breakdown

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
Memory
30/30

yi-coder-1.5b-chat

Speed
26/50
TTFT
17/20
Memory
24/30

Quality

google/gemma-4-e4b-it-qat

Reasoning
14/20
Coding
18/20
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

yi-coder-1.5b-chat

Reasoning
4/20
Coding
12/20
Instruction
6/20
Structured
6/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Adequate
View google/gemma-4-e4b… details | View yi-coder-1.5b-chat 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