初始化项目，由ModelHub XC社区提供模型

Model: cyberagent/calm2-7b
Source: Original Platform

README.md

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+---
+license: apache-2.0
+language:
+- ja
+- en
+tags:
+- japanese
+- causal-lm
+inference: false
+---
+# CyberAgentLM2-7B (CALM2-7B)
+
+## Model Description
+
+CyberAgentLM2 is a decoder-only language model pre-trained on the 1.3T tokens of publicly available Japanese and English datasets.  
+
+Variant: [CyberAgentLM2-Chat](https://huggingface.co/cyberagent/calm2-7b-chat)
+
+## Requirements
+- transformers >= 4.34.1
+- accelerate
+
+## Usage
+
+```python
+import transformers
+from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
+
+assert transformers.__version__ >= "4.34.1"
+
+model = AutoModelForCausalLM.from_pretrained("cyberagent/calm2-7b", device_map="auto", torch_dtype="auto")
+tokenizer = AutoTokenizer.from_pretrained("cyberagent/calm2-7b")
+streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
+
+prompt = "AIによって私達の暮らしは、"
+
+token_ids = tokenizer.encode(prompt, return_tensors="pt")
+output_ids = model.generate(
+    input_ids=token_ids.to(model.device),
+    max_new_tokens=100,
+    do_sample=True,
+    temperature=0.9,
+    streamer=streamer,
+)
+```
+
+## Model Details
+
+* **Model size**: 7B
+* **Trained tokens**: 1.3T tokens
+* **Context length**: 4096
+* **Model type**: Transformer-based Language Model
+* **Language(s)**: Japanese, English
+* **Developed by**: [CyberAgent, Inc.](https://www.cyberagent.co.jp/)
+* **License**: Apache-2.0
+
+## Author
+
+[Ryosuke Ishigami](https://huggingface.co/rishigami)
+
+## Citations
+```tex
+@article{touvron2023llama,
+  title={LLaMA: Open and Efficient Foundation Language Models},
+  author={Touvron, Hugo and Lavril, Thibaut and Izacard, Gautier and Martinet, Xavier and Lachaux, Marie-Anne and Lacroix, Timoth{\'e}e and Rozi{\`e}re, Baptiste and Goyal, Naman and Hambro, Eric and Azhar, Faisal and Rodriguez, Aurelien and Joulin, Armand and Grave, Edouard and Lample, Guillaume},
+  journal={arXiv preprint arXiv:2302.13971},
+  year={2023}
+}
+```