初始化项目，由ModelHub XC社区提供模型

Model: stockmark/stockmark-13b-instruct
Source: Original Platform

README.md

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+---
+license: mit
+language:
+- ja
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- japanese
+- llama-2
+- instruction-tuning
+---
+
+# Stockmark-13b-instruct
+
+**Stockmark-13b-instruct** is an instruction-tuned version of [Stockmark-13b](https://huggingface.co/stockmark/stockmark-13b), a 13 billion parameter Japanese LLM. This model is developed by [Stockmark Inc.](https://stockmark.co.jp/)
+
+We used data (2023/11/03 version) from [Project of Development of Japanese Instruction data for LLM](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/) for instruction tuning.
+
+Please see our [blog](https://tech.stockmark.co.jp/blog/202311_stockmark_13b_instruct/) for more details.
+
+## How to use
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("stockmark/stockmark-13b-instruct", device_map="auto", torch_dtype=torch.bfloat16)
+tokenizer = AutoTokenizer.from_pretrained("stockmark/stockmark-13b-instruct")
+
+instruction = "自然言語処理とは？"
+
+prompt = f"""### Input:
+{instruction}
+
+### Output:
+"""
+
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+with torch.no_grad():
+    tokens = model.generate(
+        **inputs,
+        max_new_tokens=128,
+        do_sample=True,
+        temperature=0.7
+    )
+    
+output = tokenizer.decode(tokens[0], skip_special_tokens=True)
+print(output)
+```
+
+## Training dataset
+[Project of Development of Japanese Instruction data for LLM](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/)
+
+## License
+MIT
+
+## Developed by
+[Stockmark Inc.](https://stockmark.co.jp/)
+
+## Author
+[Takahiro Omi](https://huggingface.co/omitakahiro)