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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

huihui_ai/Qwen3.8-abliterated:27b

OLLAMA GGUF

qwen35 · 27.3B · Q4_K_M

Excellent

Aug 25, 2026 · AMD RYZEN AI MAX+ 395

Global Score

77 vs 80

Hardware Fit

100 vs 65

Quality Score

67 vs 87

Hardware

mlx-community/meta… huihui_ai/Qwen3.8-…

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… huihui_ai/Qwen3.8-…

Tokens/sec54.317.5

First chunk277 ms597 ms

TTFT277 ms597 ms

Load timeN/A7.1 s

Memory usage4.2 GB17.4 GB

Memory %7%14%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

huihui_ai/Qwen3.8-ablit…

Speed

16/50

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

huihui_ai/Qwen3.8-ablit…

Reasoning

17/20

Coding

18/20

Instruction

16/20

Structured

15/15

Math

11/15

Multilingual

10/10

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

View mlx-community/meta… details | View huihui_ai/Qwen3.8-… 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