LocalClaw/LLM/Command R+ (104B)
Open-weight local LLM

Command R+ (104B)

Cohere's flagship open model. CC BY-NC 4.0 license (non-commercial; commercial license available). Unmatched 128K context. Perfect for RAG.

Large-memory workstation 72 GB RAM Q4_K_M Coding assistant
Run with LocalClaw Compare all models
Parameters
104B
Minimum RAM
72 GB
Model size
65 GB
Quantization
Q4_K_M

Can Command R+ (104B) run locally?

Command R+ (104B) needs a serious workstation with large unified memory or high VRAM.

Search for command-r-plus-104b in LM Studio or another GGUF-compatible runtime.

lmstudio-community/c4ai-command-r-plus-GGUF
chatcodepowerqualitygeneral

Install path

01
Check RAM fitMinimum 72 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch command-r-plus-104b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Cohere's flagship open model. CC BY-NC 4.0 license (non-commercial; commercial license available). Unmatched 128K context. Perfect for RAG.

Limitations

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

Best use cases

  • chat
  • code
  • power
  • quality
  • general

Capability profile

speed
2
quality
9
coding
8
reasoning
9

Technical notes

Developer
cohere
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.

Large unified memoryMac Studio M4 Max 128GB128GB AI PC classNVIDIA GB10 / DGX SparkHigh-memory picks128GB RAM guide

Where to go next