AxForge
Sign in Get started

Model reference · open weights

qwen2.5-omni

LLMs tiny-random Omni (any→any) 1 build Licence not stated 1k dl/mo

qwen2.5-omni is an open-weight language model from tiny-random. qwen2.5-omni (BF16) weighs 11 MB; the smallest configuration that runs it is RTX 3060 12 GB.

  • qwen2.5-omni is a 5M parameter any-to-any model created by tiny-random for debugging purposes.
  • It is randomly initialized using a configuration adapted from Qwen2.5-Omni-7B.
  • The model card does not specify a context length, supported languages, or license.

Summary of the tiny-random/qwen2.5-omni model card, 2026-10-01

Hugging Face ↗

What it is

Released bytiny-random
Released2025-03-28
Parameters5M
VRAM11 MB for the weights

What it runs on

Memory and cards for qwen2.5-omni (BF16)

11 MBweights, 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 GBfits
RTX 4060 Ti 16 GBfits
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.
© 2026 AxForge · EU-hosted AI infrastructure Pricing Docs Trust Privacy Terms