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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

liquid/lfm2-24b-a2b

LM-STUDIO MLX

lfm2_moe · 24B · 4bit

Good

Mar 19, 2026 · Apple M4

Global Score

77 vs 74

Hardware Fit

100 vs 84

Quality Score

67 vs 69

Hardware

mlx-community/meta… liquid/lfm2-24b-a2b

MachineMac miniMac mini

CPUApple M4 ProApple M4

Cores1410

RAM64 GB24 GB

GPUApple M4 ProApple M4

OSmacOS 15.7.4macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/meta… liquid/lfm2-24b-a2b

Tokens/sec54.358.9

First chunk277 ms28 ms

TTFT277 ms481 ms

Load timeN/AN/A

Memory usage4.2 GB17.5 GB

Memory %7%73%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

liquid/lfm2-24b-a2b

Speed

50/50

TTFT

20/20

Memory

14/30

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

liquid/lfm2-24b-a2b

Reasoning

11/20

Coding

12/20

Instruction

16/20

Structured

13/15

Math

8/15

Multilingual

9/10

Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

View mlx-community/meta… details | View liquid/lfm2-24b-a2b 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