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chore: update FLock documentation and deployment configuration #595

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2 changes: 1 addition & 1 deletion FLock-training-node/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@ This is a template for running a FLock Training Node on Akash. It enables users

[train.flock.io](http://train.flock.io/) is the gateway to [FLock.io](http://flock.io/)'s decentralized AI training platform, AI Arena. It is currently on incentivised testnet, and all participants who have earned FML rewards will receive mainnet airdrops.

To participate, you need to first [get whitelisted](https://blog.flock.io/news/trainflock), acquire [FML test tokens](https://train.flock.io/faucet) and test tokens for Base Sepolia, then [stake FML](https://train.flock.io/stake) on the task you wish to train models for. Afterwards, you can use this template to run training tasks with Akash compute; the script automates the entire Training Node process, from downloading training dataset, model training, uploading to a Hugging Face repo, and submitting the training task.
To participate,verify your github on [train.flock.io](http://train.flock.io/) after which you will be sent 30FML, acquire test tokens for Base Sepolia, then [stake FML](https://train.flock.io/stake) on the task you wish to train models for. Afterwards, you can use this template to run training tasks with Akash compute; the script automates the entire Training Node process, from downloading training dataset, model training, uploading to a Hugging Face repo, and submitting the training task.

# 🚀 About [FLock.io](http://flock.io/)

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2 changes: 1 addition & 1 deletion FLock-validator/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@ This is a template for running a FLock Validator on Akash. It enables users to r

[train.flock.io](http://train.flock.io/) is the gateway to [FLock.io](http://flock.io/)'s decentralized AI training platform, AI Arena. It is currently on incentivised testnet, and all participants who have earned FML rewards will receive mainnet airdrops.

To participate, you need to first [get whitelisted](https://blog.flock.io/news/trainflock), acquire [FML test tokens](https://train.flock.io/faucet) and test tokens for Base Sepolia, then [stake FML](https://train.flock.io/stake) on the task you wish to validate. Afterwards, you can use this template to run validation script with Akash compute; the script will fetch validation tasks and send scores automatically.
To participate,verify your github on [train.flock.io](http://train.flock.io/) after which you will be sent 30FML, acquire test tokens for Base Sepolia, then [stake FML](https://train.flock.io/stake) on the task you wish to validate. Afterwards, you can use this template to run validation script with Akash compute; the script will fetch validation tasks and send scores automatically.

# 🚀 About [FLock.io](http://flock.io/)

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2 changes: 1 addition & 1 deletion FLock-validator/deploy.yml
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@ version: "2.0"

services:
flock-validater:
image: ghcr.io/flock-io/llm-loss-validator:v0.0.6
image: ghcr.io/flock-io/llm-loss-validator:latest
env:
- FLOCK_API_KEY=
# support multi_task, such as 1,2,3
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