Open-weight local LLM

Command A (111B)

Cohere enterprise flagship. Top-tier for RAG and enterprise use. 58K downloads.

Large-memory workstation 80 GB RAM Q4_K_M General local assistant
Parameters
111B
Minimum RAM
80 GB
Model size
64 GB
Quantization
Q4_K_M

Can Command A (111B) run locally?

Command A (111B) needs a serious workstation with large unified memory or high VRAM.

Search for command-a-111b in LM Studio or another GGUF-compatible runtime.

chatgeneralquality

Install path

01
Check RAM fitMinimum 80 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch command-a-111b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Cohere enterprise flagship. Top-tier for RAG and enterprise use. 58K downloads.

Limitations

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

Best use cases

  • chat
  • general
  • quality

Capability profile

speed
1
quality
10
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.

Where to go next