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Qwen 3.5 (4B)

Sweet-spot small model. Surprisingly capable for its size with hybrid thinking, 256K context and strong multilingual support. Runs on 8 GB RAM. The go-to for MacBook Air M4 16 GB. Apache 2.0.

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Parameters
4B
Minimum RAM
6 GB
Model size
3 GB
Quantization
Q4_K_M

Can Qwen 3.5 (4B) run locally?

Qwen 3.5 (4B) is best suited for entry-level laptops and desktops. LocalClaw recommends Q4_K_M as the default quantization, with at least 6 GB RAM.

Search term for LM Studio or compatible runtimes: qwen3.5-4b

Hugging Face repository: unsloth/Qwen3.5-4B-GGUF

chatcodereasoningspeedgeneral

Strengths

  • Sweet-spot small model. Surprisingly capable for its size with hybrid thinking, 256K context and strong multilingual support. Runs on 8 GB RAM. The go-to for MacBook Air M4 16 GB. Apache 2.0.

Limitations

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

Best use cases

  • chat
  • code
  • reasoning
  • speed
  • general

Benchmarks

Speed: 9/10

Quality: 6/10

Coding: 6/10

Reasoning: 6/10

Technical details

Developer: qwen

License: See model repository

Context window: Unknown tokens

Architecture: See model card

Released: 2026-03