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llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

unsloth-phi-4

LM-STUDIO MLX

llama · 4bit

Excellent

Mar 6, 2026 · Apple M4 Pro

Global Score
81 vs 82
Hardware Fit
100 vs 88
Quality Score
73 vs 80

Hardware

llama-3.1-8b-instr… unsloth-phi-4
MachineASUSMac mini
CPUAMD Ryzen 5 5500Apple M4 Pro
Cores1214
RAM31 GB64 GB
GPUNavi 44 [Radeon RX 9060 XT]Apple M4 Pro
OSNobara Linux 43macOS 15.7.4
Archx64arm64
Power Modeperformancebalanced

Performance

llama-3.1-8b-instr… unsloth-phi-4
Tokens/sec35.627.4
First chunk52 ms457 ms
TTFT256 ms457 ms
Load timeN/AN/A
Memory usage8.6 GB7.7 GB
Memory %28%12%

HW Fit Score Breakdown

llama-3.1-8b-instruct

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

unsloth-phi-4

Speed
38/50
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

unsloth-phi-4

Reasoning
15/20
Coding
19/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

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