High-end versions (34B) require significant VRAM—up to 80GB+ per GPU for full fine-tuning.
The model is trained from scratch on 3 trillion tokens, ensuring it doesn't just repeat other models' mistakes. 🛠️ Key Technical Features
The Yi-VL version can understand and discuss images at 448x448 resolution. ⚖️ The Verdict
The "2K" in the title likely refers to the , a standout feature that allows the model to process entire books or massive codebases in one go.
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