LLaMA is a collection of foundation language models ranging from 7B to 65B parameters and show that it is possible to train state-of-the-art models using publicly available datasets exclusively, without resorting to proprietary and inaccessible datasets.
“A foundational, 65-billion-parameter large language model”
LLaMA launched on Product Hunt on February 25th, 2023 and earned 123 upvotes and 7 comments, placing #10 on the daily leaderboard. LLaMA is a collection of foundation language models ranging from 7B to 65B parameters and show that it is possible to train state-of-the-art models using publicly available datasets exclusively, without resorting to proprietary and inaccessible datasets.
LLaMA was featured in Open Source (68.3k followers), Artificial Intelligence (466.5k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 118.2k products, making this a competitive space to launch in.
Who hunted LLaMA?
LLaMA 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.
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Chris Messina