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mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

gemma3n:latest

OLLAMA GGUF

gemma3n · 6.9B · Q4_K_M

Excellent

Mar 6, 2026 · AMD EPYC 9654P 96-Core Processor

Global Score
77 vs 81
Hardware Fit
100 vs 100
Quality Score
67 vs 73

Hardware

mlx-community/meta… gemma3n:latest
MachineMac miniSupermicro AS -2015HS-TNR
CPUApple M4 ProAMD EPYC 9654P 96-Core Processor
Cores1464
RAM64 GB128 GB
GPUApple M4 ProGH100 [H100L 94GB], ASPEED Graphics Family, GH100 [H100L 94GB]
OSmacOS 15.7.4Ubuntu 24.04.3 LTS
Archarm64x64
Power Modebalancedperformance

Performance

mlx-community/meta… gemma3n:latest
Tokens/sec54.3108.7
First chunk277 ms333 ms
TTFT277 ms333 ms
Load timeN/A4.5 s
Memory usage4.2 GB8.6 GB
Memory %7%7%

HW Fit Score Breakdown

mlx-community/meta-llam…

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

gemma3n:latest

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

Quality

mlx-community/meta-llam…

Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

gemma3n:latest

Reasoning
14/20
Coding
14/20
Instruction
14/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View mlx-community/meta… details | View gemma3n:latest 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