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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:e2b-mlx

OLLAMA GGUF
Not Rec.

Aug 26, 2026 · Apple M1 Pro

Global Score
81 vs 88
Hardware Fit
100 vs 79
Quality Score
73 vs 92

Hardware

llama-3.1-8b-instr… gemma4:e2b-mlx
MachineASUSMacBook Pro
CPUAMD Ryzen 5 5500Apple M1 Pro
Cores1210
RAM31 GB16 GB
GPUNavi 44 [Radeon RX 9060 XT]Apple M1 Pro
OSNobara Linux 43macOS 26.6.2
Archx64arm64
Power Modeperformancebalanced

Performance

llama-3.1-8b-instr… gemma4:e2b-mlx
Tokens/sec35.672.8
First chunk52 ms134 ms
TTFT256 ms30.0 s
Load timeN/A2.6 s
Memory usage8.6 GB5.7 GB
Memory %28%36%

HW Fit Score Breakdown

llama-3.1-8b-instruct

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

gemma4:e2b-mlx

Speed
50/50
TTFT
0/20
Memory
29/30

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:e2b-mlx

Reasoning
19/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View llama-3.1-8b-instr… details | View gemma4:e2b-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