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๐Ÿ‘€ Vision [ฯ„, ฯ„]

Giving ๐Ÿ‘€ to Bittensor with Decentralized subnet inference at scale.

License: MIT

Bittensor โ€ข Discord โ€ข Corcel

Intro ๐Ÿ“œ

Subnet 19 is a Bittensor subnetwork, focused around inference at scale, with an initial focus on image generation & manipulation models.

๐Ÿ‘‘ Highlights

  • A ton of models supported - with arbitrary models to come ๐Ÿ™๐Ÿป
  • DPO technique integrated into scoring - miners compete head to head! ๐Ÿ’€
  • Custom trained XGBoost reward model to ensure miners can't game the system whilst allowing a variety of GPU types ๐Ÿ“ˆ
  • Validators can sell their organic traffic in a completely decentralized way ๐Ÿ’ฐ

We have SDXL Turbo, Kandinsky, Inpainting, Scribble, Controlnets, Upscaling, Image-To-Image, Uncrop support, the list goes on!

Installation

Requirements

Miners

GPU: 1x80 GB or 3x24gb or 2x48gb vram

You might be able to use 2x24gb vram or 1x48gb vram, but as models change this is subject to change

Storage: 200Gb

RAM: 32Gb

Validators

GPU: 1x80 GB or 1x24GB or 1x48GB

Storage: 200Gb

Ram: 64Gb (Recommended)

Tested Hardware

Setups tested for mining so far:

Name CUDA Version Ubuntu Version Python Version Works
H1OO 12.0 22.04 3.10.12 โœ…
A100 11.8 22.04 3.10.12 โœ… / โŒ (hit and miss)
RTX 4090 11.8 22.04 3.10.12 โœ…
A6000* 12.0 22.04 3.10.12 โœ…
A40 12.0 22.04 3.10.12 โœ…
L40 12.0 22.04 3.10.12 โŒ
A100 SXM 11.8 22.04 3.10.12 โŒ

Note: That's not to say you can't use other GPU's!

Validator scoring criteria responses:

See here for our response to key metrics used for assigning validator emissions

vision's People

Contributors

namoray avatar

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