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Qwen 3.5 (2B)

Ultra-compact Qwen 3.5 with hybrid thinking mode and 256K context. Runs comfortably on 4 GB RAM — ideal for MacBook Air M1/M2, Windows laptops, and edge devices. Apache 2.0.

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Parameters
2B
Minimum RAM
4 GB
Model size
1.5 GB
Quantization
Q4_K_M

Can Qwen 3.5 (2B) run locally?

Qwen 3.5 (2B) is best suited for entry-level laptops and desktops. LocalClaw recommends Q4_K_M as the default quantization, with at least 4 GB RAM.

Search term for LM Studio or compatible runtimes: qwen3.5-2b

Hugging Face repository: unsloth/Qwen3.5-2B-GGUF

chatcodeedgespeed

Strengths

  • Ultra-compact Qwen 3.5 with hybrid thinking mode and 256K context. Runs comfortably on 4 GB RAM — ideal for MacBook Air M1/M2, Windows laptops, and edge devices. Apache 2.0.

Limitations

  • Performance depends heavily on quantization, RAM bandwidth and runtime support.

Best use cases

  • chat
  • code
  • edge
  • speed

Benchmarks

Speed: 10/10

Quality: 5/10

Coding: 5/10

Reasoning: 4/10

Technical details

Developer: qwen

License: See model repository

Context window: Unknown tokens

Architecture: See model card

Released: 2026-03