Kudos OpenAI on releasing their open models, is now moving in the direction if only based on their prefix "Open" name alone.
For those who're wondering what are the real benefits, it's the main fact that you can run your LLM locally is awesome without resorting to expensive and inefficient cloud based superpower.
Run the model against your very own documents with RAG, it can provide excellent context engineering for your LLM prompts with reliable citations and much less hallucinations especially for self learning purposes [1].
Beyond Intel - NVIDIA desktop/laptop duopoly 96 GB of (V)RAM MacBook with UMA and the new high end AMD Strix laptop with similar setup of 96 GB of (V)RAM from the 128 GB RAM [2]. The osd-gpt-120b is made for this particular setup.
[1] AI-driven chat assistant for ECE 120 course at UIUC:
For those who're wondering what are the real benefits, it's the main fact that you can run your LLM locally is awesome without resorting to expensive and inefficient cloud based superpower.
Run the model against your very own documents with RAG, it can provide excellent context engineering for your LLM prompts with reliable citations and much less hallucinations especially for self learning purposes [1].
Beyond Intel - NVIDIA desktop/laptop duopoly 96 GB of (V)RAM MacBook with UMA and the new high end AMD Strix laptop with similar setup of 96 GB of (V)RAM from the 128 GB RAM [2]. The osd-gpt-120b is made for this particular setup.
[1] AI-driven chat assistant for ECE 120 course at UIUC:
https://uiuc.chat/ece120/chat
[2] HP ZBook Ultra G1a Review: Strix Halo Power in a Sleek Workstation:
https://www.bestlaptop.deals/articles/hp-zbook-ultra-g1a-rev...