[gemma_cpp] Add support for Qwen3 models (0.6B, 1.7B and 4B).#964
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[gemma_cpp] Add support for Qwen3 models (0.6B, 1.7B and 4B).#964copybara-service[bot] wants to merge 1 commit into
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Qwen3 shares a very similar architecture as Gemma3 ([comparison](https://sebastianraschka.com/llm-architecture-gallery/?compare=qwen3-0-6b%2Cgemma-3-270m#architecture-diff-tool)). Differences include: - *Tokenizer* : Qwen3 uses bytelevel BPE while Gemma3 uses `Sentencepiece`; - *Embedding* : Qwen3 0.6B and 1.7B do not share the `input_embedding` and `lm_head` weights, and there is no Embedding Scaling for Qwen3; - *Activation* : Qwen3 uses SiLU while gemma3 uses GeLU; - *Norm* : Qwen3 only has two pre-norms, and they are not Zero-centered (we substract 1.0 while converting the weights to keep the kernel untouched); - *Attention* : Qwen3 uses full-attention for all the layers. - *Prompt Wrapping* : Qwen3 uses different special tokens and does not require <BOS>. PiperOrigin-RevId: 952434363
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[gemma_cpp] Add support for Qwen3 models (0.6B, 1.7B and 4B).
Qwen3 shares a very similar architecture as Gemma3 (comparison).
Differences include:
Sentencepiece;input_embeddingandlm_headweights, and there is no Embedding Scaling for Qwen3;