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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

hf.co/unsloth/gemma-4-E2B-it-GGUF:UD-Q8_K_XL

OLLAMA GGUF

gemma4 · 4.65B · unknown

Excellent

Aug 23, 2026 · Apple M1 Pro

Global Score

77 vs 84

Hardware Fit

100 vs 99

Quality Score

67 vs 77

Hardware

mlx-community/meta… hf.co/unsloth/gemm…

MachineMac miniMacBook Pro

CPUApple M4 ProApple M1 Pro

Cores1410

RAM64 GB16 GB

GPUApple M4 ProApple M1 Pro

OSmacOS 15.7.4macOS 26.6.2

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/meta… hf.co/unsloth/gemm…

Tokens/sec54.348.0

First chunk277 ms167 ms

TTFT277 ms167 ms

Load timeN/A4.7 s

Memory usage4.2 GB5.3 GB

Memory %7%33%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

hf.co/unsloth/gemma-4-E…

Speed

50/50

TTFT

20/20

Memory

29/30

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

hf.co/unsloth/gemma-4-E…

Reasoning

12/20

Coding

18/20

Instruction

14/20

Structured

15/15

Math

8/15

Multilingual

10/10

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

View mlx-community/meta… details | View hf.co/unsloth/gemm… 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