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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

smollm2:135m

OLLAMA GGUF

llama · 134.52M · F16

Marginal

Mar 2, 2026 · Apple M4

Global Score

77 vs 41

Hardware Fit

100 vs 100

Quality Score

67 vs 15

Hardware

mlx-community/meta… smollm2:135m

MachineMac miniMacBook Air

CPUApple M4 ProApple M4

Cores1410

RAM64 GB32 GB

GPUApple M4 ProApple M4

OSmacOS 15.7.4macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/meta… smollm2:135m

Tokens/sec54.3241.0

First chunk277 msN/A

TTFT277 ms39 ms

Load timeN/A0.4 s

Memory usage4.2 GB0.6 GB

Memory %7%2%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

smollm2:135m

Speed

40/50

TTFT

30/20

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

smollm2:135m

Reasoning

4/20

Coding

1/20

Instruction

6/20

Structured

2/15

Math

1/15

Multilingual

1/10

Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

View mlx-community/meta… details | View smollm2:135m 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