Open-weight local LLM

Aya (8B)

Cohere 23-language multilingual model. Excellent for non-English conversations. 164K downloads.

Laptop ready 8 GB RAM Q4_K_M General local assistant
Parameters
8B
Minimum RAM
8 GB
Model size
5 GB
Quantization
Q4_K_M

Can Aya (8B) run locally?

Aya (8B) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for aya-23-8b in LM Studio or another GGUF-compatible runtime.

chatstandardgeneral

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch aya-23-8b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Cohere 23-language multilingual model. Excellent for non-English conversations. 164K downloads.

Limitations

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

Best use cases

  • chat
  • standard
  • general

Capability profile

speed
8
quality
7
coding
5
reasoning
6

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