LocalClaw/LLM/DeepSeek R1 0528 (671B MoE)
Open-weight local LLM

DeepSeek R1 0528 (671B MoE)

Catalogue summary: Updated flagship DeepSeek R1 with improved reasoning chains and fewer hallucinations. Major upgrade to chain-of-thought quality. MIT licensed. Server-grade only.

Repository editorial metadata; verify comparative claims in the linked upstream material.

512 GB catalogue minimum512 GB RAMQ4_K_MCoding assistant
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Parameters
671B (37B active)
Minimum RAM
512 GB
Model size
360 GB
Quantization
Q4_K_M

Can DeepSeek R1 0528 (671B MoE) run locally?

DeepSeek R1 0528 (671B MoE) has a catalogue minimum of 512 GB RAM with Q4_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Treat deepseek-r1-0528 as a server-grade catalogue target. Use the verified artefact with a compatible multi-GPU or distributed runtime and follow its upstream instructions; this is not a one-click desktop LM Studio recommendation.

Model sourcePublic GGUF repository (verified 2026-09-07): unsloth/DeepSeek-R1-0528-GGUFUpstream releaseLicence text
reasoningcodequality

Deployment path

01
Check RAM fitServer-grade target. Plan for 512 GB class multi-GPU memory.
02
Load the modelUse deepseek-r1-0528 only with a compatible server-grade or distributed runtime; confirm the exact artefact and upstream instructions first.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: deepseek
  • Parameters: 671B (37B active)
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 512 GB
  • Catalogue model size: 360 GB
  • Tags: reasoning, code, quality

Practical limits

  • Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
  • Speed and memory use vary by quantization, backend, context length and system headroom.
  • Verify architecture, licence and usage restrictions in the linked upstream material before deployment.

Catalogue tags

  • reasoning
  • code
  • quality

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
1
quality
10
coding
10
reasoning
10

Technical notes

Developer
DeepSeek AI
License
MIT
Context window
131,072 tokens
Architecture
Mixture of Experts (MoE) — 671B total, 37B active per token. Updated from original 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.

Very large memoryMac Studio Ultra classCheck model size firstNVIDIA GB10 / server optionsMore practical alternativesCompare smaller models

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

DeepSeek V3.2 Exp (671B MoE) 671B (37B active)DeepSeek R1 Distill (70B) 70BDeepSeek V4 Pro (1.6T MoE) 1.6T (49B active)DeepSeek R1 Distill (32B) 32BDeepSeek Coder (33B) 33BDeepSeek R1 Distill (14B) 14BDeepSeek Coder V2 (16B) 16BDeepSeek R1 0528 Distill (8B) 8B

Where to go next