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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

prism-ml/bonsai-27b

LM-STUDIO GGUF

qwen35 · 27B · Q1_0

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score

77 vs 81

Hardware Fit

100 vs 95

Quality Score

67 vs 75

Hardware

mlx-community/meta… prism-ml/bonsai-27b

MachineMac miniASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH

CPUApple M4 ProAMD Ryzen 9 8940HX

Cores1432

RAM64 GB15 GB

GPUApple M4 ProNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M

OSmacOS 15.7.4Microsoft Windows 11 Home Single Language 10.0.26200

Archarm64x64

Power Modebalancedbalanced

Performance

mlx-community/meta… prism-ml/bonsai-27b

Tokens/sec54.333.6

First chunk277 ms20 ms

TTFT277 ms409 ms

Load timeN/AN/A

Memory usage4.2 GB5.3 GB

Memory %7%35%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

prism-ml/bonsai-27b

Speed

46/50

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

prism-ml/bonsai-27b

Reasoning

17/20

Coding

13/20

Instruction

13/20

Structured

15/15

Math

8/15

Multilingual

9/10

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

View mlx-community/meta… details | View prism-ml/bonsai-27b 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