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llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

gemma3:270m

OLLAMA GGUF

gemma3 · 268.10M · Q8_0

Marginal

Mar 5, 2026 · Apple M3 Pro

Global Score
81 vs 50
Hardware Fit
100 vs 97
Quality Score
73 vs 30

Hardware

llama-3.1-8b-instr… gemma3:270m
MachineASUSMacBook Pro
CPUAMD Ryzen 5 5500Apple M3 Pro
Cores1212
RAM31 GB36 GB
GPUNavi 44 [Radeon RX 9060 XT]Apple M3 Pro
OSNobara Linux 43macOS 15.7.5
Archx64arm64
Power Modeperformancebalanced

Performance

llama-3.1-8b-instr… gemma3:270m
Tokens/sec35.6239.2
First chunk52 ms127 ms
TTFT256 ms127 ms
Load timeN/A0.7 s
Memory usage8.6 GB0.6 GB
Memory %28%2%

HW Fit Score Breakdown

llama-3.1-8b-instruct

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

gemma3:270m

Speed
50/50
TTFT
20/20
Memory
27/30

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

gemma3:270m

Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
8/15
Math
1/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
View llama-3.1-8b-instr… details | View gemma3:270m 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