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---
base_model: llm-jp/llm-jp-3-13b
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
license: cc
language:
- ja
datasets:
- elyza/ELYZA-tasks-100
- weblab-GENIAC/aya-ja-evol-instruct-calm3-dpo-masked
---
# Uploaded model
- **Developed by:** JunichiroMorita
- **License:** CC-BY-NC-SA
- **Finetuned from model :** llm-jp/llm-jp-3-13b
# Usage
```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("JunichiroMorita/llm-jp-3-13b_lora_20241201")
model = AutoModelForCausalLM.from_pretrained("JunichiroMorita/llm-jp-3-13b_lora_20241201", device_map="auto", torch_dtype=torch.bfloat16)
chat = [
{"role": "system", "content": "以下は、タスクを説明する指示です。要求を適切に満たす応答を書きなさい。"},
{"role": "user", "content": "自然言語処理とは何か"},
]
tokenized_input = tokenizer.apply_chat_template(chat, add_generation_prompt=True, tokenize=True, return_tensors="pt").to(model.device)
with torch.no_grad():
output = model.generate(
tokenized_input,
max_new_tokens=2048,
do_sample=True,
top_p=0.95,
temperature=0.7,
repetition_penalty=1.05,
)[0]
print(tokenizer.decode(output))
```
# Data
- [DeL-TaiseiOzaki/news_summary_2024secondhalf](https://huggingface.co/datasets/DeL-TaiseiOzaki/news_summary_2024secondhalf)
- [llmのための日本語インストラクションデータ (CC-BY-NC-SA)](https://liat-aip.sakura.ne.jp/wp/llm%e3%81%ae%e3%81%9f%e3%82%81%e3%81%ae%e6%97%a5%e6%9c%ac%e8%aa%9e%e3%82%a4%e3%83%b3%e3%82%b9%e3%83%88%e3%83%a9%e3%82%af%e3%82%b7%e3%83%a7%e3%83%b3%e3%83%87%e3%83%bc%e3%82%bf%e4%bd%9c%e6%88%90/llm%e3%81%ae%e3%81%9f%e3%82%81%e3%81%ae%e6%97%a5%e6%9c%ac%e8%aa%9e%e3%82%a4%e3%83%b3%e3%82%b9%e3%83%88%e3%83%a9%e3%82%af%e3%82%b7%e3%83%a7%e3%83%b3%e3%83%87%e3%83%bc%e3%82%bf-%e5%85%ac%e9%96%8b/)\[1]
- [elyza/ELYZA-tasks-100](https://huggingface.co/datasets/elyza/ELYZA-tasks-100)
- [weblab-GENIAC/aya-ja-evol-instruct-calm3-dpo-masked](https://huggingface.co/datasets/weblab-GENIAC/aya-ja-evol-instruct-calm3-dpo-masked)
\[1]:関根聡, 安藤まや, 後藤美知子, 鈴木久美, 河原大輔, 井之上直也, 乾健太郎. ichikara-instruction: LLMのための日本語インストラクションデータの構築. 言語処理学会第30回年次大会(2024)