Intellect-2: First Decentralized 32B RL Training Complete

Prime Intellect (@PrimeIntellect) announced the completion of INTELLECT-2, the first decentralized Reinforcement Learning (RL) training run for a 32-billion-parameter model.

Key Points:

• Milestone: This marks the first successful decentralized RL training of a 32B model.
• Open Collaboration: The training was open to compute contributions from anyone, making it fully permissionless.
• Goal: The project aims to scale towards frontier reasoning capabilities in areas like coding, math, and science.
• Upcoming Release: A full open-source release, including model checkpoints, training data, and a detailed technical report, is expected approximately one week after the announcement (made around late August 2024).
• Community Effort: The announcement highlighted the significant contributions from various compute providers, including Demetercompute, string, BioProtocol, mev_pete, plaintext_cap, skre_0, oldmankotaro, plabs, ibuyrugs, 0xfr, marloXBT, herb0x_, mo, toptickcrypto, cannopo, samsja19, jackminong, and primeprimeint1234.

Links:

• Completion Announcement: https://x.com/PrimeIntellect/status/1917295731532259628
• Initial Launch Announcement: https://x.com/PrimeIntellect/status/1912266266137764307

This achievement showcases the potential of decentralized approaches for large-scale AI model training.

• Decentralized-Ai
• Reinforcement-Learning
• Large-Models
• Collaborative-Training