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In this tutorial, we explore how to fine-tune NVIDIA’s NV-Embed-v1 model on the Amazon Polarity dataset using LoRA (Low-Rank Adaptation) with PEFT (Parameter-Efficient Fine-Tuning) from Hugging Face.

Evaluated for a large MIMO HBF system across both an environment-specific channel using ray tracing and clustered delay line channel models, simulation results show that rank-2 LoRA achieves efficient ...

See examples for usage. [24/04/16] We supported BAdam optimizer. See examples for usage. [24/04/16] We supported unsloth's long-sequence training (Llama-2-7B-56k within 24GB). It achieves 117% speed ...

📝 Text, for tasks like text classification, information extraction, question answering, summarization, translation, and text generation, in over 100 languages. 🖼️ Images, for tasks like image ...

Meta has made Llama 2 open-source and free for research and commercial use, because it gives the public more opportunity to shape and benefit from the transformative technology. "Giving businesses ...