Deploy an open-source LLM on io.net cluster

About The Project 

io.net the world’s largest decentralized computing network that allows machine learning engineers to access scalable distributed clusters at a small fraction of the cost of comparable centralized services.

Your mission involves the setup, configuration, and deployment of an open-source LLM on our cutting-edge io.net cluster. The goal is to leverage the cluster's computing prowess to run the LLM efficiently, ensuring scalability, reliability, and top-notch performance.

Eligibility Criteria

1. Technical Expertise: Participants must have proven experience in deploying and managing large-scale machine learning models, particularly large language models (LLMs).

2. Familiarity with Cluster Environments: Applicants should be familiar with operating in cluster environments, ideally with experience in setting up and optimizing distributed computing systems.

3. Proficiency in Relevant Tools and Languages: Knowledge of relevant programming languages and tools is required.

4. Availability and Commitment: Candidates must be available to complete the project within the specified timeline and should be able to provide ongoing support or modifications if needed.

5. Previous Work: A portfolio or case studies of previous similar projects can be advantageous.

Payment Logistics: 

• 25% upon the start of the project 

• 75% once the project has been completed