LocalClaw/LLM/OpenThinker (7B)
Open-weight local LLM

OpenThinker (7B)

Open reasoning model distilled from DeepSeek R1. Excellent chain-of-thought. 601K downloads.

Laptop ready 8 GB RAM Q4_K_M Reasoning
Run with LocalClaw Compare all models
Parameters
7B
Minimum RAM
8 GB
Model size
4.5 GB
Quantization
Q4_K_M

Can OpenThinker (7B) run locally?

OpenThinker (7B) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for openthinker-7b in LM Studio or another GGUF-compatible runtime.

open-thoughts/OpenThinker-7B-GGUF
reasoningstandard

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch openthinker-7b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Open reasoning model distilled from DeepSeek R1. Excellent chain-of-thought. 601K downloads.

Limitations

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

Best use cases

  • reasoning
  • standard

Capability profile

speed
8
quality
7
coding
6
reasoning
8

Technical notes

Developer
openthinker
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.

Entry laptop fitMacBook Air 8GBMore headroomMac mini M4 16GBAll compatible picks8GB RAM guide

Where to go next