Open-weight local LLM

Aya Expanse (32B)

Cohere 23-language improved model. Strong multilingual at 32B. 86K downloads.

32 GB power user 24 GB RAM Q4_K_M General local assistant
Parameters
32B
Minimum RAM
24 GB
Model size
19 GB
Quantization
Q4_K_M

Can Aya Expanse (32B) run locally?

Aya Expanse (32B) belongs on 32 GB machines when you want stronger quality without jumping to server hardware.

Search for aya-expanse-32b in LM Studio or another GGUF-compatible runtime.

chatpowergeneral

Install path

01
Check RAM fitMinimum 24 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch aya-expanse-32b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Cohere 23-language improved model. Strong multilingual at 32B. 86K downloads.

Limitations

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

Best use cases

  • chat
  • power
  • general

Capability profile

speed
4
quality
8
coding
6
reasoning
8

Technical notes

Developer
aya
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