Supports "needle-in-a-haystack" retrieval, finding specific facts in huge datasets.
It matches GPT-3.5 quality while remaining more cost-effective for developers. Supports "needle-in-a-haystack" retrieval
The Yi-VL version can understand and discuss images at 448x448 resolution. ⚖️ The Verdict Supports "needle-in-a-haystack" retrieval
Researchers needing long-context analysis or developers building local chatbots. Supports "needle-in-a-haystack" retrieval
The model is trained from scratch on 3 trillion tokens, ensuring it doesn't just repeat other models' mistakes. 🛠️ Key Technical Features
High-end versions (34B) require significant VRAM—up to 80GB+ per GPU for full fine-tuning.