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README.md
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- unsloth
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- qwen2
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- trl
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---
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# Uploaded model
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- **Developed by:** SejongKRX
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This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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-
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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- unsloth
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- qwen2
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- trl
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- krx
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---
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Sejong-Qwen-v5_inference.ipynb: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1ZZWjAqVqu-HGOht4-3QQoeirF81Lm7eD?usp=sharing)
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# Usage:
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``` python
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!pip install transformers einops accelerate
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!pip install qwen
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!pip install unsloth
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from transformers import AutoTokenizer, AutoModelForCausalLM
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# ν ν¬λμ΄μ μ λͺ¨λΈ λ‘λ
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tokenizer = AutoTokenizer.from_pretrained(
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"SejongKRX/Sejong-Qwen-v5",
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trust_remote_code=True,
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use_fast=False
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)
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model = AutoModelForCausalLM.from_pretrained(
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"SejongKRX/Sejong-Qwen-v5",
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trust_remote_code=True
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)
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# μ
λ ₯ ν
μ€νΈ
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input_text = """
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λ€μ μ€ ννμ μκ°κ°μΉμ κ΄ν μ€λͺ
μΌλ‘ μ³μ§ μμ κ²μ 무μμΈκ°?
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A. μ 볡리μ κ²½μ°, 맀μ μ μ©λλ μ΄μμ¨μ μ°κ° λͺ
λͺ© μ΄μμ¨μ 1/12λ‘ λλμ΄ μ°μΆνλ€.
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B. ν¬μ μκΈ λ° κΈ°ν μ‘°κ±΄μ΄ λμΌν κ²½μ°, λ¨λ¦¬ λ°©μλ³΄λ€ λ³΅λ¦¬ λ°©μμμ λ°μνλ μ΄μκ° λ ν¬λ€.
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C. μΌμλΆλ‘ μ§κΈλ κΈμ‘μ νμ¬ κ°μΉλ λ―Έλ κ°μΉλ₯Ό μΌμ κΈ°κ° λμ ν μΈμ¨μ μ μ©ν΄ μ°μΆν μ μλ€.
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D. 1,000,000μμ μ° 5% λ³΅λ¦¬λ‘ 2λ
λμ μμΉνμ κ²½μ°, λ§κΈ°μ λ°μ μΈμ μ΄μλ 100,000μμ΄λ€.
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### μ λ΅:
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"""
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inputs = tokenizer(input_text, return_tensors="pt")
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# λͺ¨λΈμ μ¬μ©νμ¬ ν
μ€νΈ μμ±
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output = model.generate(**inputs, max_new_tokens=1500)
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# κ²°κ³Ό λμ½λ©
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generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
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print(generated_text)
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```
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output:
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```
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λ€μ μ€ ννμ μκ°κ°μΉμ κ΄ν μ€λͺ
μΌλ‘ μ³μ§ μμ κ²μ 무μμΈκ°?
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A. μ 볡리μ κ²½μ°, 맀μ μ μ©λλ μ΄μμ¨μ μ°κ° λͺ
λͺ© μ΄μμ¨μ 1/12λ‘ λλμ΄ μ°μΆνλ€.
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B. ν¬μ μκΈ λ° κΈ°ν μ‘°κ±΄μ΄ λμΌν κ²½μ°, λ¨λ¦¬ λ°©μλ³΄λ€ λ³΅λ¦¬ λ°©μμμ λ°μνλ μ΄μκ° λ ν¬λ€.
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C. μΌμλΆλ‘ μ§κΈλ κΈμ‘μ νμ¬ κ°μΉλ λ―Έλ κ°μΉλ₯Ό μΌμ κΈ°κ° λμ ν μΈμ¨μ μ μ©ν΄ μ°μΆν μ μλ€.
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D. 1,000,000μμ μ° 5% λ³΅λ¦¬λ‘ 2λ
λμ μμΉνμ κ²½μ°, λ§κΈ°μ λ°μ μΈμ μ΄μλ 100,000μμ΄λ€.
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### μ λ΅:
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D
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```
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# Dataset
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λ³Έ λͺ¨λΈμ λ€μν μΆμ²μ λ°μ΄ν°(Wikipedia λ° νκ΅μνμ 곡곡 λ°μ΄ν°)λ₯Ό νμ©νμ¬ νμ΅λμμΌλ©°, λͺ¨λ λ°μ΄ν°λ μ μκΆ λ° μ¬μ© μ μ±
μ λ°λΌ μ μ ν μ¬μ©λμμ΅λλ€.
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- Wikipedia λ°μ΄ν°λ CC BY-SA 4.0 λΌμ΄μ μ€λ₯Ό λ°λ¦
λλ€. μμΈν μ 보λ [μ¬κΈ°](https://creativecommons.org/licenses/by-sa/4.0/)μμ νμΈν μ μμ΅λλ€.
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- νκ΅μνμ λ°μ΄ν°λ νκ΅μνμ [μ μκΆ λ³΄νΈλ°©μΉ¨](https://www.bok.or.kr)μ λ°λΌ μ¬μ©λμμ΅λλ€.
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# Uploaded model
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- **Developed by:** SejongKRX
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This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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