Open-weight local LLM

Cogito (8B)

Hybrid reasoning model outperforming peers. Strong general + reasoning at 8B. 558K downloads.

Laptop ready 8 GB RAM Q4_K_M Reasoning tasks
Parameters
8B
Minimum RAM
8 GB
Model size
5 GB
Quantization
Q4_K_M

Can Cogito (8B) run locally?

Cogito (8B) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for cogito-8b in LM Studio or another GGUF-compatible runtime.

chatreasoningstandardgeneral

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch cogito-8b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Hybrid reasoning — outperforms peers
  • Apache 2.0
  • Toggleable thinking mode
  • 558K downloads

Limitations

  • English-only
  • New — less tested
  • Reasoning overhead

Best use cases

  • Reasoning tasks
  • General chat
  • Analysis
  • Problem solving

Capability profile

speed
8
quality
7
coding
7
reasoning
8

Technical notes

Developer
Deep Cogito
License
Apache 2.0
Context window
131,072 tokens
Architecture
Hybrid reasoning Transformer (Llama 8B 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