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
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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 an advanced workstation/server-grade catalogue target with verified GGUF artefacts. Open the GGUF files and follow the upstream runtime notes; LocalClaw does not claim a one-click LM Studio install.

reasoningserver-grademoe

Deployment path

01
Check RAM fitServer-grade target. Plan for 512 GB class multi-GPU memory.
02
Load the modelOpen the verified GGUF files for r1-1776 and follow the upstream runtime or patch notes 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.

Related catalogue entries

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

Where to go next