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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen2.5-coder-0.5b-instruct

LM-STUDIO GGUF

qwen2 · 0.5B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score

77 vs 55

Hardware Fit

100 vs 89

Quality Score

67 vs 40

Hardware

mlx-community/meta… qwen2.5-coder-0.5b…

MachineMac miniLENOVO 20BUS00700

CPUApple M4 ProIntel Core™ i5-5300U

Cores144

RAM64 GB16 GB

GPUApple M4 ProIntel(R) HD Graphics 5500

OSmacOS 15.7.4Microsoft Windows 10 Professionnel 10.0.19045

Archarm64x64

Power Modebalancedbalanced

Performance

mlx-community/meta… qwen2.5-coder-0.5b…

Tokens/sec54.313.5

First chunk277 ms1292 ms

TTFT277 ms1.3 s

Load timeN/AN/A

Memory usage4.2 GB0.4 GB

Memory %7%2%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen2.5-coder-0.5b-inst…

Speed

41/50

TTFT

20/20

Memory

28/30

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

qwen2.5-coder-0.5b-inst…

Reasoning

7/20

Coding

7/20

Instruction

10/20

Structured

10/15

Math

2/15

Multilingual

4/10

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

View mlx-community/meta… details | View qwen2.5-coder-0.5b… 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