tinyllama-1.1b-chat-v1.0
LM-STUDIO GGUFllama · 1.1B · Q3_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
gemma-4-e2b-it@q5_k_xl
LM-STUDIO GGUFgemma4 · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
33 vs 79
Hardware Fit
76 vs 81
Quality Score
14 vs 78
Hardware
tinyllama-1.1b-cha… gemma-4-e2b-it@q5_…
MachineLENOVO 20BUS00700Docker Container
CPUIntel Core™ i5-5300UIntel Gen Intel® Core™ i9-11900H
Cores416
RAM16 GB15 GB
GPUIntel(R) HD Graphics 5500TigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 10 Professionnel 10.0.19045Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance
Performance
tinyllama-1.1b-cha… gemma-4-e2b-it@q5_…
Tokens/sec9.917.2
First chunk3166 ms7 ms
TTFT3.2 s1.6 s
Load timeN/A8.9 s
Memory usage0.5 GB0.0 GB
Memory %3%0%
HW Fit Score Breakdown
tinyllama-1.1b-chat-v1.0
Speed
32/50
TTFT
16/20
Memory
28/30
gemma-4-e2b-it@q5_k_xl
Speed
32/50
TTFT
19/20
Memory
30/30
Quality
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
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
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