The AI community is currently abuzz with the emergence of 'Smaug-72B,' a 72-billion parameter model developed by Abacus AI, which has taken the lead as the Best Open Source Large Language Model (LLM) in the world. It has achieved this status by topping the Hugging Face LLM LeaderBoard, and it is notably the first model to reach an average score of 80. Smaug-72B, which is based on the Qwen-72B architecture, has outperformed its predecessor GPT-3.5 in several benchmarks, as reported by MichaelFNunez from VentureBeat. This advancement in AI has sparked discussions about the potential for distributed inference as a new business model, suggesting a shift in the landscape of LLM deployment.
Meet 'Smaug-72B': The New King of Open-Source AI https://t.co/bn4PdUDnYD
Launching our LLM Leaderboard with 60+ model & API host combinations 🚀 This is the most comprehensive view of LLM inference performance available to date Our leaderboard offers a single page to compare models & API hosts across metrics including quality, throughput, latency,… https://t.co/bRyqCuML0K
Meet ‘Smaug-72B’: The new king of open-source AI https://t.co/jDGm3UG2Ab https://t.co/1BINZCFiWV
Smaug-72B, a Qwen-72B-based open-source LLM released by Abacus AI, tops the Hugging Face Open LLM leaderboard and outperforms GPT-3.5 on several benchmarks (@michaelfnunez / VentureBeat) https://t.co/uV80xzEGL0 📫 Subscribe: https://t.co/OyWeKSRpIM https://t.co/F9jjYUI7Cy
Meet 'Smaug-72B': The new king of open-source AI https://t.co/aJXKLBjnfQ
This seems big: very fast hardware for LLM inference-only: https://t.co/sWIVEiHtaJ One can now imagine distributed inference as a business, breaking yet another choke point for LLM rollout.
RT @BinduReddy >> Smaug-72B (72-billion parameter model) from @AbacusAI is currently the Best Open Source #LLM Model in the World, on top of the @HuggingFace LLM LeaderBoard and also the first model with an average score of 80. ———— #LLMs #GPT4 #GenerativeAI #AI #DataScience #ML https://t.co/q61NQTZpuJ https://t.co/icbAOkMHEf