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llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

Global Score
81 vs 78
Hardware Fit
100 vs 72
Quality Score
73 vs 81

Hardware

llama-3.1-8b-instr… gemma4:e4b-mlx
MachineASUSMacBook Pro
CPUAMD Ryzen 5 5500Apple M2 Pro
Cores1210
RAM31 GB16 GB
GPUNavi 44 [Radeon RX 9060 XT]Apple M2 Pro
OSNobara Linux 43macOS 26.5
Archx64arm64
Power Modeperformancebalanced

Performance

llama-3.1-8b-instr… gemma4:e4b-mlx
Tokens/sec35.626.9
First chunk52 ms222 ms
TTFT256 ms222 ms
Load timeN/A0.1 s
Memory usage8.6 GB15.4 GB
Memory %28%96%

HW Fit Score Breakdown

llama-3.1-8b-instruct

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

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
2/30

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

gemma4:e4b-mlx

Reasoning
14/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View llama-3.1-8b-instr… details | View gemma4:e4b-mlx 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