qwen2.5-coder-1.5b-instruct

LM-STUDIO GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 6, 2026 · Intel Core™ i5-5300U

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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

61 vs 77

Hardware Fit

69 vs 100

Quality Score

57 vs 67

Hardware

qwen2.5-coder-1.5b… mlx-community/meta…

MachineLENOVO 20BUS00700Mac mini

CPUIntel Core™ i5-5300UApple M4 Pro

Cores414

RAM16 GB64 GB

GPUIntel(R) HD Graphics 5500Apple M4 Pro

OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.7.4

Archx64arm64

Power Modebalancedbalanced

Performance

qwen2.5-coder-1.5b… mlx-community/meta…

Tokens/sec7.354.3

First chunk2369 ms277 ms

TTFT2.4 s277 ms

Load timeN/AN/A

Memory usage0.9 GB4.2 GB

Memory %6%7%

HW Fit Score Breakdown

qwen2.5-coder-1.5b-inst…

Speed

25/50

TTFT

18/20

Memory

26/30

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

qwen2.5-coder-1.5b-inst…

Reasoning

9/20

Coding

12/20

Instruction

13/20

Structured

12/15

Math

3/15

Multilingual

8/10

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

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

View qwen2.5-coder-1.5b… details | View mlx-community/meta… 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