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Model reference · open weights

aya-vision

LLMs CohereLabs Vision + text 1 build Non-commercial 5k dl/mo

aya-vision is an open-weight language model from Cohere. aya-vision-8b (FP16) weighs 17.3 GB; the smallest configuration that runs it is RTX 4090 24 GB.

  • Aya Vision 8B is an open-weights vision-language model developed by Cohere Labs for tasks such as OCR, captioning, and visual reasoning.
  • The model contains 8.6 billion parameters, supports a context length of 16K, and is trained on 23 languages including English, French, and Japanese.
  • It is released under the CC-BY-NC-4.0 license.

Summary of the CohereLabs/aya-vision-8b model card, 2026-10-01

Hugging Face ↗GitHub ↗Paper ↗

What it is

Released byCohere
Released2025-03-02
Parameters8.6B
VRAM17.3 GB for the weights

What it runs on

Memory and cards for aya-vision-8b (FP16)

17.3 GBweights, file size
762 MBruntime overhead, at least

How much memory each request adds isn't estimated yet for this architecture. The weights need at least the cards below, plus room for the context.

CardWeights alone
RTX 3060 12 GB … RTX 4060 Ti 16 GB
2 smaller cards		does not fit
RTX 3090 24 GBfits
RTX 4090 24 GBfits
RTX 5090 32 GBfits
L40S 48 GBfits
A100 80 GBfits
H100 80 GBfits
RTX PRO 6000 Blackwell 96 GBfits
DGX Spark (GB10) 128 GB unifiedfits
H200 141 GBfits
B200 180 GBfits

How it works

How language models work

Your prompttext / messagesTransformerattention over tokensNext-token loopgenerate + streamResponsetext · tool callsA language model reads your tokens and predicts the next one, again and again, streaming the reply back.
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