#Qwen-3 Is Here — The #Llama-4 We’ve Been Waiting For!
https://www.youtube.com/watch?v=75NtNtY_Upw
#LLM@TutorialBTC
https://www.youtube.com/watch?v=75NtNtY_Upw
#LLM@TutorialBTC
YouTube
Qwen-3 Is Here — The Llama-4 We’ve Been Waiting For!
Qwen-3 model family is here and these are the first open-weight hybrid reasoning models.
LINKS:
https://chat.qwen.ai/
https://qwenlm.github.io/blog/qwen3/
https://huggingface.co/spaces/Qwen/Qwen3-Demo
RAG Beyond Basics Course:
https://prompt-s-site.t…
LINKS:
https://chat.qwen.ai/
https://qwenlm.github.io/blog/qwen3/
https://huggingface.co/spaces/Qwen/Qwen3-Demo
RAG Beyond Basics Course:
https://prompt-s-site.t…
QWEN-3: EASIEST WAY TO FINE-TUNE WITH #REASONING
#QWEN-3: A MANEIRA MAIS FÁCIL DE AFINAR O #RACIOCÍNIO
https://www.youtube.com/watch?v=BJgjYhJf7h4
#QWEN-3: A MANEIRA MAIS FÁCIL DE AFINAR O #RACIOCÍNIO
https://www.youtube.com/watch?v=BJgjYhJf7h4
YouTube
QWEN-3: EASIEST WAY TO FINE-TUNE WITH REASONING 🙌
Learn how to fine‑tune Qwen‑3‑14B on your own data—with LoRA adapters, Unsloth’s 4‑bit quantization, and just 12 GB of VRAM—while preserving its chain‑of‑thought reasoning. I’ll walk you through dataset prep, the key hyper‑parameters that prevent catastrophic…