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README.md
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@@ -33,6 +33,23 @@ Qwen2-1.5B-Instruct๋ฅผ ํ๊ตญ์ด ์ฌํ/ํ์ฌ **ํ๊ธฐ ์์ฝ** ์ฉ๋๋ก ๋ฏธ
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- `model-00001-of-00002.safetensors`, `model-00002-of-00002.safetensors` โ ๋ชจ๋ธ ๊ฐ์ค์น ์ค๋(shard) ํ์ผ
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- `model.safetensors.index.json` โ ๊ฐ ํ๋ผ๋ฏธํฐ ํ
์๊ฐ ์ด๋ shard์ ์๋์ง ์ธ๋ฑ์ค ๋งต
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## Quickstart (Transformers)
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```python
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- `model-00001-of-00002.safetensors`, `model-00002-of-00002.safetensors` โ ๋ชจ๋ธ ๊ฐ์ค์น ์ค๋(shard) ํ์ผ
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- `model.safetensors.index.json` โ ๊ฐ ํ๋ผ๋ฏธํฐ ํ
์๊ฐ ์ด๋ shard์ ์๋์ง ์ธ๋ฑ์ค ๋งต
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---
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## Introduction (EN)
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Qwen2-1.5B-Instruct fine-tuned for **Korean travel/event review summarization** (1.5B parameters).
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Well-suited for **1โ3 sentence** concise summaries, key-point extraction, and aggregating multiple reviews.
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## Files (EN)
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- `config.json` โ Model architecture settings (hidden size, number of layers, etc.). Structural info; usually not modified.
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- `generation_config.json` โ Default parameters for `generate()` (e.g., `max_new_tokens`, `temperature`, `top_p`).
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- `tokenizer.json` โ Full definition of the Fast tokenizer (vocab/merges/preprocessing pipeline).
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- `tokenizer_config.json` โ Tokenizer metadata (`model_max_length`, special-token policies, etc.).
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- `special_tokens_map.json` โ Mapping for special tokens (e.g., `eos`, `pad`).
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- `model-00001-of-00002.safetensors`, `model-00002-of-00002.safetensors` โ Sharded model weights.
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- `model.safetensors.index.json` โ Index mapping that shows which tensors live in which shard.
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---
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## Quickstart (Transformers)
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```python
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