gemma-4-e4b-it@q5_k_xl
LM-STUDIO GGUFgemma4 · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
tinyllama-1.1b-chat-v1.0
LM-STUDIO GGUFllama · 1.1B · Q3_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
Global Score
77 vs 33
Hardware Fit
59 vs 76
Quality Score
84 vs 14
Hardware
gemma-4-e4b-it@q5_… tinyllama-1.1b-cha…
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-e4b-it@q5_… tinyllama-1.1b-cha…
Tokens/sec9.39.9
First chunk51 ms3166 ms
TTFT3.4 s3.2 s
Load time12.2 sN/A
Memory usage0.0 GB0.5 GB
Memory %0%3%
HW Fit Score Breakdown
gemma-4-e4b-it@q5_k_xl
Speed
17/50
TTFT
12/20
Memory
30/30
tinyllama-1.1b-chat-v1.0
Speed
32/50
TTFT
16/20
Memory
28/30
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
tinyllama-1.1b-chat-v1.0
Reasoning
2/20
Coding
1/20
Instruction
6/20
Structured
2/15
Math
1/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest