LocalClaw/LLM/DeepSeek R1 Distill (7B)
Open-weight local LLM

DeepSeek R1 Distill (7B)

DeepSeek's reasoning model distilled to 7B. Shows thought process step-by-step. 65.5M downloads total.

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

Can DeepSeek R1 Distill (7B) run locally?

DeepSeek R1 Distill (7B) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for deepseek-r1-distill-qwen-7b in LM Studio or another GGUF-compatible runtime.

lmstudio-community/DeepSeek-R1-Distill-Qwen-7B-GGUF
reasoningstandard

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch deepseek-r1-distill-qwen-7b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Shows reasoning chain-of-thought
  • 65.5M total R1 downloads
  • MIT license
  • Affordable reasoning

Limitations

  • Verbose thinking tokens
  • Distilled — not as strong as full R1
  • Sometimes overthinks simple tasks

Best use cases

  • Math problems
  • Logical reasoning
  • Step-by-step explanations
  • Education

Capability profile

speed
8
quality
7
coding
6
reasoning
8

Technical notes

Developer
DeepSeek AI
License
MIT
Context window
131,072 tokens
Architecture
Transformer distilled from DeepSeek-R1

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

Similar models to compare

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Where to go next