Replit Code v1.5 is a 3.3B parameter Causal Language Model focused on Code Completion. The model is trained in bfloat16 on 1T tokens of code (~200B tokens over 5 epochs, including linear cooldown) for 30 programming languages
This is an impressive AI model that was released this past weekend at the AI Engineer Summit in San Francisco. The results are pretty solid — don't sleep on this.
About Replit Code V1.5 3B on Product Hunt
“A new code generation language model”
Replit Code V1.5 3B launched on Product Hunt on October 13th, 2023 and earned 118 upvotes and 13 comments, placing #21 on the daily leaderboard. Replit Code v1.5 is a 3.3B parameter Causal Language Model focused on Code Completion. The model is trained in bfloat16 on 1T tokens of code (~200B tokens over 5 epochs, including linear cooldown) for 30 programming languages
On the analytics side, Replit Code V1.5 3B competes within Developer Tools, Artificial Intelligence and Development — topics that collectively have 983.8k followers on Product Hunt. The dashboard above tracks how Replit Code V1.5 3B performed against the three products that launched closest to it on the same day.
Who hunted Replit Code V1.5 3B?
Replit Code V1.5 3B was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Chris Messina