Open-weight local LLM

DeepSeek R1 0528 Distill (8B)

Updated R1 reasoning distilled to Qwen3-8B. Improved chain-of-thought with fewer hallucinations vs original R1 distills. MIT licensed.

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

Can DeepSeek R1 0528 Distill (8B) run locally?

DeepSeek R1 0528 Distill (8B) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for deepseek-r1-0528-qwen3-8b in LM Studio or another GGUF-compatible runtime.

reasoningstandard

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch deepseek-r1-0528-qwen3-8b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Updated R1 reasoning distilled to Qwen3-8B. Improved chain-of-thought with fewer hallucinations vs original R1 distills. MIT licensed.

Limitations

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

Best use cases

  • reasoning
  • standard

Capability profile

speed
8
quality
7
coding
7
reasoning
9

Technical notes

Developer
deepseek
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.

Where to go next