初始化项目，由ModelHub XC社区提供模型

Model: SakanaAI/Llama-3-Karamaru-v1
Source: Original Platform

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LICENSE

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+META LLAMA 3 COMMUNITY LICENSE AGREEMENT
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README.md

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+---
+library_name: transformers
+license: llama3
+language:
+- ja
+base_model:
+- elyza/Llama-3-ELYZA-JP-8B
+pipeline_tag: text-generation
+---
+<br>
+
+# からまる Llama-3-Karamaru-v1
+
+Karamaru is a conversational AI model developed by Sakana AI that responds in the style of Edo-period Japanese. 
+While the base language model was originally trained on modern text, we applied continual pretraining using a 
+custom Edo-period dataset consisting of over 25 million characters. 
+This dataset includes approximately 13 million characters of human-transcribed text and 12 million characters 
+transcribed using AI-based kuzushiji OCR from historical Japanese books.
+
+With Karamaru, users can ask questions in modern Japanese and receive answers written in the classical Japanese style of the Edo period, 
+reflecting the worldview and cultural context of that era. Karamaru offers a unique way to explore and engage with Japan’s historical language and thought.
+
+**Karamaru is intended as a tool for research, education, and cultural exploration—bridging time and language 
+to bring the past closer to the present.**
+
+For further information, please refer to our [blog post](https://sakana.ai/karamaru/).
+
+- **Developed by:** Sakana AI
+- **License:** Llama3 Community License
+- **Finetuned from model :** [Llama-3-ELYZA-JP-8B](https://huggingface.co/elyza/Llama-3-ELYZA-JP-8B)
+- **Demo:** [Karamaru v1 Demo](https://huggingface.co/spaces/SakanaAI/Llama-3-Karamaru-v1)
+
+## Usage
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+checkpoint = "SakanaAI/Llama-3-Karamaru-v1"
+
+model = AutoModelForCausalLM.from_pretrained(checkpoint, device_map="auto", torch_dtype=torch.bfloat16)
+model.eval()
+tokenizer = AutoTokenizer.from_pretrained(checkpoint)
+
+text = "AIにとって大事なものはなんですか。"
+message = {"role": "user", "content": text}
+conversation = [message]
+
+input_ids = tokenizer.apply_chat_template(conversation, add_generation_prompt=True, return_tensors="pt")
+    
+input_ids = input_ids.to(model.device)
+attention_mask = torch.ones_like(input_ids).to(model.device)
+
+with torch.no_grad():
+    output_ids = model.generate(
+        input_ids,
+        max_new_tokens=500,
+        temperature=0.6,
+        top_p=0.9,
+        top_k=50,
+        repetition_penalty=1.1,
+        attention_mask=attention_mask
+    )
+output_ids = output_ids[0][input_ids.shape[1]:]
+output = tokenizer.decode(output_ids, skip_special_tokens=True)
+print(output)
+```
+
+## Training Data
+
+Karamaru was trained using a custom Edo-period text dataset totaling approximately 25 million characters. 
+1. [Minna de Honkoku](https://www.honkoku.org/) 12 millions characters.
+2. [Kuzushiji Dataset](https://codh.rois.ac.jp/char-shape/) 1 million characters.
+3. [Pre-Modern Japanese Text Dataset](https://codh.rois.ac.jp/pmjt/) 12 million characters using AI Kuzushiji OCR model [RURI](https://codh.rois.ac.jp/miwo/) and using Sakana AI's LLM based [classical Japanese OCR Refiner](https://ipsj.ixsq.nii.ac.jp/records/241512).
+
+
+## Limitations
+
+Karamaru was trained on historical texts from the Edo period, which may reflect the social norms, values, 
+and biases of that time. As a result, the model may generate responses that are considered inappropriate, 
+outdated, or offensive by modern standards. 
+Users should be mindful when using the model for research, educational or public-facing purposes.
+
+
+## Glossary
+
+1. **Edo period**  
+   A historical era in Japan spanning from 1603 to 1868, characterized by the rule of the Tokugawa shogunate, a strict social hierarchy, and flourishing traditional arts and culture.
+
+2. **Kuzushiji (くずし字)**  
+   A cursive style of Japanese writing used in historical texts, particularly before the Meiji 33rd year (1900). Kuzushiji includes Kanji and Hentaigana. It can be difficult to read without specialized training.
+
+## Developers
+
+Tarin Clanuwat (Sakana AI)  
+Tianyu Zhao (Sakana AI)  
+Yuki Imajuku (Sakana AI)  
+Makoto Shing (Sakana AI)  
+Asanobu Kitamoto (National Institute of Informatics, ROIS-DS Center for Open Data in the Humanities, Sakana AI)
+
+## Collaborators
+
+Kazuaki Yamamoto (National Institute of Japanese Literature)  
+Yuta Hashimoto (National Meseum of Japanese History)
+
+## Citation
+
+**BibTeX:**
+
+```bibtex
+@misc{karamaruv1,
+    url    = {https://SakanaAI/Llama-3-Karamaru-v1},
+    title  = {Llama-3-Karamaru-v1},
+    author = {Clanuwat, Tarin and Zhao, Tianyu and Imajuku, Yuki and Shing, Makoto and Kitamoto, Asanobu}
+}
+```

USE_POLICY.md

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+# Meta Llama 3 Acceptable Use Policy
+
+Meta is committed to promoting safe and fair use of its tools and features, including Meta Llama 3. If you
+access or use Meta Llama 3, you agree to this Acceptable Use Policy (“Policy”). The most recent copy of
+this policy can be found at [https://llama.meta.com/llama3/use-policy](https://llama.meta.com/llama3/use-policy)
+
+## Prohibited Uses
+
+We want everyone to use Meta Llama 3 safely and responsibly. You agree you will not use, or allow
+others to use, Meta Llama 3 to:
+
+1. Violate the law or others’ rights, including to:
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+Please report any violation of this Policy, software “bug,” or other problems that could lead to a violation
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+● Reporting issues with the model: [https://github.com/meta-llama/llama3](https://github.com/meta-llama/llama3)
+● Reporting risky content generated by the model:
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config.json

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+  ],
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+  "use_cache": true,
+  "vocab_size": 128256
+}

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+  "transformers_version": "4.46.3"
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