llama-3.1-8b-instruct
LM-STUDIO GGUFllama · 8B · Q8_0
Apr 26, 2026 · AMD Ryzen 5 5500
gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
81 vs 81
Hardware Fit
100 vs 90
Quality Score
73 vs 77
Hardware
llama-3.1-8b-instr… gemma-4-e2b-it-qat
MachineASUSDocker Container
CPUAMD Ryzen 5 5500Intel Gen Intel® Core™ i9-11900H
Cores1216
RAM31 GB15 GB
GPUNavi 44 [Radeon RX 9060 XT]TigerLake-H GT1 [UHD Graphics]
OSNobara Linux 43Ubuntu 26.04 LTS
Archx64x64
Power Modeperformanceperformance
Performance
llama-3.1-8b-instr… gemma-4-e2b-it-qat
Tokens/sec35.622.2
First chunk52 ms67 ms
TTFT256 ms1.1 s
Load timeN/A5.4 s
Memory usage8.6 GB0.0 GB
Memory %28%0%
HW Fit Score Breakdown
llama-3.1-8b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
Quality
llama-3.1-8b-instruct
Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
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
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