Open-weight local LLM

Cogito (32B)

Hybrid reasoning at 32B. Outperforms larger models on reasoning tasks. Strong general purpose.

32 GB power user 24 GB RAM Q4_K_M Advanced reasoning
Parameters
32B
Minimum RAM
24 GB
Model size
19 GB
Quantization
Q4_K_M

Can Cogito (32B) run locally?

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

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

chatreasoningpowerquality

Install path

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

Strengths

  • Outperforms larger models on reasoning
  • Apache 2.0
  • Excellent general purpose
  • Strong coding

Limitations

  • Needs 24GB+ RAM
  • English-only
  • New model

Best use cases

  • Advanced reasoning
  • Professional coding
  • Complex analysis
  • Research

Capability profile

speed
4
quality
9
coding
8
reasoning
10

Technical notes

Developer
Deep Cogito
License
Apache 2.0
Context window
131,072 tokens
Architecture
Hybrid reasoning Transformer (Qwen 32B base)

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.

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Where to go next