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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

hf.co/unsloth/Qwen3.8-27B-GGUF:UD-IQ1_M

OLLAMA GGUF

qwen35 · 27.3B · unknown

Good

Aug 21, 2026 · AMD RYZEN AI MAX+ 395

Global Score

77 vs 68

Hardware Fit

100 vs 69

Quality Score

67 vs 67

Hardware

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

MachineMac miniAZW GTR Pro

CPUApple M4 ProAMD RYZEN AI MAX+ 395

Cores1432

RAM64 GB125 GB

GPUApple M4 ProRadeon 8060S

OSmacOS 15.7.4Ubuntu 24.04.4 LTS

Archarm64x64

Power Modebalancedlow-power

Performance

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

Tokens/sec54.321.1

First chunk277 ms571 ms

TTFT277 ms571 ms

Load timeN/A4.9 s

Memory usage4.2 GB22.7 GB

Memory %7%18%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

hf.co/unsloth/Qwen3.8-2…

Speed

20/50

TTFT

19/20

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

hf.co/unsloth/Qwen3.8-2…

Reasoning

12/20

Coding

10/20

Instruction

10/20

Structured

15/15

Math

10/15

Multilingual

10/10

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

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