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Model: khairi/qwen3-0.6b-protein-vocab-v0
Source: Original Platform

README.md

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+---
+base_model: Qwen/Qwen3-0.6B
+tags:
+  - protein
+  - tokenizer-extension
+  - not-yet-trained
+---
+
+# qwen3-0.6b-protein-vocab-v0
+
+`Qwen/Qwen3-0.6B` with its tokenizer extended by a protein-sequence BPE
+vocabulary (+9,568 new tokens plus `<protein>`/`</protein>` special tokens),
+and input/output embeddings resized to match (new rows mean/covariance-
+initialized from the existing embedding distribution).
+
+**This checkpoint has not been trained on any protein data.** It's a
+starting point ("V0") for LoRA continued-pretraining, not a usable protein
+language model yet. All of Qwen3's original pretrained weights and special
+tokens (`<|im_start|>`, `<|im_end|>`, `<think>`, etc.) are unchanged and
+keep their original ids.
+
+Built with [`eshmun-vocab`](https://github.com/) via:
+
+```bash
+python scripts/extend_tokenizer.py \
+  --protein-tokenizer data/tokenizers/tokenizer_c100_10k/tokenizer.json \
+  --llm-tokenizer Qwen/Qwen3-0.6B \
+  --output data/tokenizers/qwen3_0.6b_protein_extended
+
+python scripts/build_vocab_extended_model.py \
+  --base-model Qwen/Qwen3-0.6B \
+  --tokenizer-path data/tokenizers/qwen3_0.6b_protein_extended \
+  --output models/Qwen3-0.6B-V0
+```