LocalClaw/LLM/DeepSeek R1 Distill (8B)
Open-weight local LLM

DeepSeek R1 Distill (8B)

DeepSeek's reasoning model distilled to 8B. Shows its thought process step-by-step. Mind-blowing for logic.

Laptop ready 8 GB RAM Q5_K_M Math reasoning
Run with LocalClaw Compare all models
Parameters
8B
Minimum RAM
8 GB
Model size
5.5 GB
Quantization
Q5_K_M

Can DeepSeek R1 Distill (8B) run locally?

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

Search for deepseek-r1-distill-llama-8b in LM Studio or another GGUF-compatible runtime.

lmstudio-community/DeepSeek-R1-Distill-Llama-8B-GGUF
chatreasoningstandard

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch deepseek-r1-distill-llama-8b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Amazing reasoning for 8B
  • Shows chain-of-thought process
  • MIT license
  • Runs on 8GB RAM

Limitations

  • Verbose thinking tokens
  • Distilled — not as strong as full R1
  • Can overthink simple tasks

Best use cases

  • Math reasoning
  • Logic puzzles
  • Step-by-step explanations
  • Education
  • Analysis

Capability profile

speed
7
quality
7
coding
7
reasoning
9

Technical notes

Developer
DeepSeek AI
License
MIT
Context window
131,072 tokens
Architecture
Transformer distilled from DeepSeek-R1 (Llama 3.1 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.

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

Similar models to compare

DeepSeek R1 Distill (7B) 7BQwen 3 (8B) 8BPhi-4 Mini (3.8B) 3.8B

Where to go next