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llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

phi:2.7b

OLLAMA GGUF

phi2 · 3B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

Global Score
81 vs 59
Hardware Fit
100 vs 100
Quality Score
73 vs 41

Hardware

llama-3.1-8b-instr… phi:2.7b
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… phi:2.7b
Tokens/sec35.656.6
First chunk52 msN/A
TTFT256 ms110 ms
Load timeN/A0.4 s
Memory usage8.6 GB2.2 GB
Memory %28%7%

HW Fit Score Breakdown

llama-3.1-8b-instruct

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

phi:2.7b

Speed
40/50
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

phi:2.7b

Reasoning
7/20
Coding
4/20
Instruction
9/20
Structured
11/15
Math
8/15
Multilingual
2/10
Reasoning: Weak Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Adequate Multilingual: Poor

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