qwen3.5:2b

OLLAMA GGUF

qwen35 · 2.3B · Q8_0

Not Rec.

Apr 29, 2026 · Intel Core™ i5-8350U

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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

13 vs 77

Hardware Fit

41 vs 100

Quality Score

1 vs 67

Hardware

qwen3.5:2b mlx-community/meta…

MachineLENOVO 20L7CTO1WWMac mini

CPUIntel Core™ i5-8350UApple M4 Pro

Cores814

RAM23 GB64 GB

GPUKaby Lake-R GT2 [UHD Graphics 620]Apple M4 Pro

OSFedora Linux 43macOS 15.7.4

Archx64arm64

Power Modelow-powerbalanced

Performance

qwen3.5:2b mlx-community/meta…

Tokens/sec4.554.3

First chunk1413 ms277 ms

TTFT31.1 s277 ms

Load time7.1 sN/A

Memory usage3.8 GB4.2 GB

Memory %16%7%

HW Fit Score Breakdown

qwen3.5:2b

Speed

11/50

TTFT

0/20

Memory

30/30

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

qwen3.5:2b

Reasoning

0/20

Coding

0/20

Instruction

1/20

Structured

0/15

Math

0/15

Multilingual

0/10

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

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 qwen3.5:2b 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