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--- |
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license: apache-2.0 |
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language: |
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- ja |
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- en |
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tags: |
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- japanese |
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- causal-lm |
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inference: false |
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--- |
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# CyberAgentLM2-7B (CALM2-7B) |
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## Model Description |
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CyberAgentLM2 is a decoder-only language model pre-trained on the 1.3T tokens of publicly available Japanese and English datasets. |
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Variant: [CyberAgentLM2-Chat](https://huggingface.co/cyberagent/calm2-7b-chat) |
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## Requirements |
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- transformers >= 4.34.1 |
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- accelerate |
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## Usage |
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```python |
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import transformers |
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer |
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assert transformers.__version__ >= "4.34.1" |
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model = AutoModelForCausalLM.from_pretrained("cyberagent/calm2-7b", device_map="auto", torch_dtype="auto") |
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tokenizer = AutoTokenizer.from_pretrained("cyberagent/calm2-7b") |
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streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True) |
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prompt = "AIによって私達の暮らしは、" |
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token_ids = tokenizer.encode(prompt, return_tensors="pt") |
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output_ids = model.generate( |
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input_ids=token_ids.to(model.device), |
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max_new_tokens=100, |
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do_sample=True, |
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temperature=0.9, |
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streamer=streamer, |
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) |
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``` |
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## Model Details |
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* **Model size**: 7B |
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* **Trained tokens**: 1.3T tokens |
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* **Context length**: 4096 |
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* **Model type**: Transformer-based Language Model |
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* **Language(s)**: Japanese, English |
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* **Developed by**: [CyberAgent, Inc.](https://www.cyberagent.co.jp/) |
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* **License**: Apache-2.0 |
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## Author |
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[Ryosuke Ishigami](https://huggingface.co/rishigami) |
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## Citations |
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```tex |
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@article{touvron2023llama, |
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title={LLaMA: Open and Efficient Foundation Language Models}, |
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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}, |
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journal={arXiv preprint arXiv:2302.13971}, |
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year={2023} |
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} |
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``` |
