FAQ

How do I unstake my staked assets?

Since points program and ORA staking has ended, here's the guide for you to unstake your assets. Your funds are safe and will be available to you forever.

Click the link below, connect the wallet, click on requestWithdraw under write as proxy tab, fill out the params, pool address are below, amount should be the amount you staked:

ETH POOL:

OLM POOL:

OLM2 POOL (6 month lock up):

STETH POOL:

STONE ETH POOL:

Once the first transaction is successful, come back after 1 day and click on claimWithdraw and fill out the params.

How do I run a Tora Client?

Currently there are 2 options for running a Tora client, Tora Launcher and CLI option.

Are there incentives for running a Tora Client?

The incentive is in form of ORA points. Read more on Points page.

Each validated transaction will earn 3 points. Read more here:

How can I monitor Node network health?

Node network health can be found in docker container logs

Is ORA network a rollup or layer 2?

Neither.

ORA is a verifiable AI oracle network. It contains a set of smart contracts capable of making calls to a network of nodes computing AI inference, secured by opML.

How does AI Oracle handle large responses to generate videos or images?

The content generated by ORA's AI Oracle can be securely stored on decentralized storage networks like IPFS (InterPlanetary File System). Once stored, the files can be retrieved using the Content Identifier (CID), which is provided by ORA’s AI Oracle.

I want to build with ORA's AI Oracle, what options do I have?

Depending on your use case, you can choose from a variety of supported AI models. Please refer to the page, where you'll find all the essential details regarding each model, including supported blockchain networks, associated fees, and other relevant information.

What does the AI Oracle fee consist of?

AI Oracle fee = Model Fee (for LlaMA2 or Stable Diffusion) + Callback Fee (for node to submit a inference result back to onchain) + Network Fee (gas)

Callback fee and network fees may be higher when network is experiencing congestion.

Callback fees may be lower if you are using model such as Stable Diffusion, because the inference result will be shorter (just an IPFS hash, instead of long paragraphs in LLM).

How does opML guarantee consistency, given ML models are non-deterministic?

ML inferences can be deterministic provided that the random seed is fixed and the inference is run using or in our deterministic VM. Learn more from .

What are the limitations of opML?

Privacy, because all models in opML needs to be public and open-source for network participants to challenge. This can be mitigated with .

What is the proving overhead, performance, and limitations of zkML frameworks?

zkLLM and Ligetron data from EthBelgrade conference .
Modulus Labs zkML bringing GPT2-1B onchain resulted in a .
The zkML framework with EZKL .
, zkML has >>1000 times overhead than pure computation, with being 1000 times, and s.
According to , the average proving time of RISC Zero is of 173 seconds for Random Forest Classification.

For more details, refer to:

, which compares our zkML framework to other leading solutions in the space.
EthBelgrade conference , which mentions zkLLM and Ligetron data.

How can I be a OG on discord?

Unfortunately, the OG role was a limited-time opportunity exclusively for our first 100 Discord community members, and that window has closed. However, we appreciate your interest and look forward to having you as part of our community!

What is OLM?

OLM is the first AI model launched through the IMO framework. More details here

FAQ

Points Program

Tora Client

ORA Network

AI Oracle

OPML

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