LocalClaw/LLM/R1-1776 (671B MoE)
Open-weight MoE

R1-1776 (671B MoE)

Catalogue summary: Perplexity R1-1776 is a full DeepSeek-R1 derivative with 671B total parameters and about 37B active per token. The verified Q4_K_M GGUF is roughly 404.4 GB, so this is a server-grade local target rather than a desktop 14B model. This legacy route ID is retained for URL stability.

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

512 GB catalogue minimum512 GB RAMQ4_K_MReasoning
Choose an app

Only verified options can be opened. Unsupported apps are clearly marked.

Compare models
LM StudioNot available for this model
Open in UnslothLaunches Unsloth Desktop on this model's download page
OllamaNot available for this model
Open on Hugging FaceFiles, licence and available downloads
llama.cppNot available for this model
Use with LocalClawOptional workspace after the model is installed

Desktop app links require the app to be installed. If nothing opens, LocalClaw will show app-download and model-file fallbacks.

Parameters
671B (37B active, MoE)
Minimum RAM
512 GB
Model size
404.4 GB
Quantization
Q4_K_M

Can R1-1776 (671B MoE) run locally?

R1-1776 (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 r1-1776 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/r1-1776-GGUF
reasoningserver-grademoe

Deployment path

01
Check RAM fitServer-grade target. Plan for 512 GB class multi-GPU memory.
02
Load the modelUse r1-1776 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: r1-1776
  • Parameters: 671B (37B active, MoE)
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 512 GB
  • Catalogue model size: 404.4 GB
  • Tags: reasoning, server-grade, moe

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
  • server-grade
  • moe

Capability profile

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

speed
6
quality
8
coding
7
reasoning
9

Technical notes

Developer
See upstream repository
License
See upstream repository
Context window
See upstream repository
Architecture
See upstream repository

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 (37B/685B MoE) 685B total (37B active, MoE)DeepSeek R1 0528 (671B MoE) 671B (37B active)DeepSeek V3.1 (671B MoE) 671B (37B active, MoE)DeepSeek V3.2 Exp (671B MoE) 671B (37B active)

Where to go next