LocalClaw/LLM/EXAONE Deep (32B)
Open-weight local LLM

EXAONE Deep (32B)

LG AI Research large reasoning model. Exceptional math and coding. 200K downloads.

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

Can EXAONE Deep (32B) run locally?

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

Search for exaone-deep-32b in LM Studio or another GGUF-compatible runtime.

LGAI-EXAONE/EXAONE-Deep-32B-GGUF
reasoningpowerquality

Install path

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

Strengths

  • LG AI Research large reasoning model. Exceptional math and coding. 200K downloads.

Limitations

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

Best use cases

  • reasoning
  • power
  • quality

Capability profile

speed
4
quality
9
coding
8
reasoning
10

Technical notes

Developer
exaone
License
See model repository
Context window
Unknown tokens
Architecture
See model card

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

Where to go next