LLMs that Failed Miserably in 2024

Looks like the race to build large language models is winding down, with only a few clear winners. Among them, DeepSeek V3 has claimed the spotlight in 2024, leading the charge for Chinese open-source models. Competing head-to-head with closed-source giants like GPT-4 and Claude 3.5, DeepSeek V3 notched 45,499 downloads last month, standing tall alongside Meta’s Llama 3.1 (491,629 downloads) and Google’s Gemma 2 (377,651 downloads), according to Hugging Face.But not all LLMs launched this year could ride the wave of success—some fell flat, failing to capture interest despite grand promises. Here’s a look at the models that couldn’t make their mark in 2024. 1. Databricks DBRX Databricks launched DBRX, an open-source LLM with 132 billion parameters, in March 2024. It