Open Image Model
Daniel discusses the base and refiner models of the open image model, highlighting their parameters. He emphasizes the accessibility of the model for users with consumer GPUs and cloud instances, making fine-tuning easier through techniques like Lora. The potential for creating personalized fine-tunes off the model is anticipated, with a surge of new adaptations expected in the near future.In this clip
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Related Questions
Should models have more parameters, as discussed in the episode ThursdAI Aug 24 - Seamless Voice Model, LLaMa Code, GPT3.5 FineTune API & IDEFICS vision model from HF and the clip Quantization and Model Size?
Should models have more parameters as discussed in the episode ThursdAI Aug 24 - Seamless Voice Model, LLaMa Code, GPT3.5 FineTune API & IDEFICS vision model from HF and the clip Quantization and Model Size?