llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

codegemma:7b

OLLAMA GGUF

gemma · 9B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score

81 vs 71

Hardware Fit

100 vs 91

Quality Score

73 vs 62

Hardware

llama-3.1-8b-instr… codegemma:7b

MachineASUSMacBook Air

CPUAMD Ryzen 5 5500Apple M4

Cores1210

RAM31 GB32 GB

GPUNavi 44 [Radeon RX 9060 XT]Apple M4

OSNobara Linux 43macOS 26.3

Archx64arm64

Power Modeperformancebalanced

Performance

llama-3.1-8b-instr… codegemma:7b

Tokens/sec35.618.7

First chunk52 msN/A

TTFT256 ms320 ms

Load timeN/A0.8 s

Memory usage8.6 GB8.7 GB

Memory %28%27%

HW Fit Score Breakdown

llama-3.1-8b-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

codegemma:7b

Speed

31/50

TTFT

30/20

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

codegemma:7b

Reasoning

1/20

Coding

14/20

Instruction

13/20

Structured

15/15

Math

10/15

Multilingual

9/10

Reasoning: Poor Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

View llama-3.1-8b-instr… details | View codegemma:7b 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