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π A fantastic resource for everyone who wants to understand how Qwen3 models work: Qwen3 From Scratch
This is a detailed step-by-step guide to running and analyzing Qwen3 models β from 0.6B to 32B β from scratch, directly in PyTorch.
π What's inside:
β How to load the Qwen3β0.6B model and pretrained weights
β Setting up the tokenizer and generating text
β Support for the reasoning version of the model
β Tricks to speed up inference: compilation, KV cache, batching
π The author also compares Qwen3 with Llama 3:
βοΈ Model depth vs width
βοΈ Performance on different hardware
βοΈ How the 0.6B, 1.7B, 4B, 8B, 32B models behave
β‘οΈ Perfect if you want to understand how inference, tokenization, and the Qwen3 architecture work β without magic or black boxes.
π₯ Github
This is a detailed step-by-step guide to running and analyzing Qwen3 models β from 0.6B to 32B β from scratch, directly in PyTorch.
π What's inside:
β How to load the Qwen3β0.6B model and pretrained weights
β Setting up the tokenizer and generating text
β Support for the reasoning version of the model
β Tricks to speed up inference: compilation, KV cache, batching
π The author also compares Qwen3 with Llama 3:
βοΈ Model depth vs width
βοΈ Performance on different hardware
βοΈ How the 0.6B, 1.7B, 4B, 8B, 32B models behave
β‘οΈ Perfect if you want to understand how inference, tokenization, and the Qwen3 architecture work β without magic or black boxes.
π₯ Github
π₯1