This model helps developers create strings of code from prompts and debug human-written work. It is the largest and best-performing model in the Code Llama series and is available in three versions and is free for both research and commercial use.
Another big drop from Meta... remotely competitive with Replit Code V1.5 3B, but 70 billion parameters is an order of magnitude greater than 3!
Zuck is gunning for OpenAI full throttle!
Code Llama-70B was trained on a massive 1TB dataset of code and code-related data.
Thanks for generate code process performant version of Meta's LLM for code generation,
About Code Llama 70B on Product Hunt
“New, performant version of Meta's LLM for code generation”
Code Llama 70B launched on Product Hunt on January 30th, 2024 and earned 144 upvotes and 9 comments, placing #25 on the daily leaderboard. This model helps developers create strings of code from prompts and debug human-written work. It is the largest and best-performing model in the Code Llama series and is available in three versions and is free for both research and commercial use.
Code Llama 70B was featured in Software Engineering (42.3k followers), Artificial Intelligence (466.3k followers), GitHub (41.2k followers) and Development (5.8k followers) on Product Hunt. Together, these topics include over 115.6k products, making this a competitive space to launch in.
Who hunted Code Llama 70B?
Code Llama 70B 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.
Want to see how Code Llama 70B stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.