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The model is trained from scratch on 3 trillion tokens, ensuring it doesn't just repeat other models' mistakes. 🛠️ Key Technical Features

Supports "needle-in-a-haystack" retrieval, finding specific facts in huge datasets. The model is trained from scratch on 3

💡 If you're on a budget, use the Yi-6B version. It offers similar bilingual perks but runs on much smaller setups. If you'd like, I can: Help you set it up on your local machine Compare it to OpenAI's o1 or Claude models Find the best API pricing for your project It offers similar bilingual perks but runs on

High-end versions (34B) require significant VRAM—up to 80GB+ per GPU for full fine-tuning. This review breaks down the performance of the

Available in 4-bit and 8-bit versions to run on consumer hardware like local GPUs.

This review breaks down the performance of the Yi-34B-200K model from , which is designed to handle massive amounts of data with its specialized context window. ⚡ Performance Summary

Let me know which you want to use this AI for! [2403.04652] Yi: Open Foundation Models by 01.AI - arXiv