The models come in Thinking and Instruct versions and utilize a new architecture, allowing it to have ~10x faster inference than Qwen32B. š Step-by-step Guide: https://docs.unsloth.ai/models/qwen3-next
They have an image tokenizer unified with text, and they de-tokenize using either of two models (LLM and diffusion) The model is actually a full LLM (Qwen2), the tokenizer converts image tokens š¤Æ