LocalClaw/LLM/QwQ (32B)
Open-weight local LLM

QwQ (32B)

Early Qwen reasoning model. Superseded by GLM-4 32B and Qwen 3 32B for most tasks. Still decent for pure math.

32 GB power user 24 GB RAM Q4_K_M Complex math problems
Run with LocalClaw Compare all models
Parameters
32B
Minimum RAM
24 GB
Model size
19 GB
Quantization
Q4_K_M

Can QwQ (32B) run locally?

QwQ (32B) belongs on 32 GB machines when you want stronger quality without jumping to server hardware.

Search for qwq-32b-preview in LM Studio or another GGUF-compatible runtime.

lmstudio-community/QwQ-32B-Preview-GGUF
reasoningpower

Install path

01
Check RAM fitMinimum 24 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch qwq-32b-preview in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • o1-class reasoning
  • Shows chain-of-thought process
  • Apache 2.0
  • Strong math/logic

Limitations

  • Verbose outputs (thinking tokens)
  • Slower due to reasoning overhead
  • Needs 24GB+ RAM

Best use cases

  • Complex math problems
  • Logical reasoning
  • Scientific analysis
  • Strategic planning

Capability profile

speed
4
quality
7
coding
6
reasoning
8

Technical notes

Developer
Alibaba Cloud (Qwen Team)
License
Apache 2.0
Context window
131,072 tokens
Architecture
Reasoning-focused Transformer

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Comfortable headroomMac mini M4 Pro 48GBMobile workstationMacBook Pro M4 Max 36GBPower-user picks32GB RAM guide

Similar models to compare

DeepSeek R1 Distill (32B) 32BPhi-4 Reasoning (14B) 14BQwen 3 (32B) 32B

Where to go next