71 lines
2.0 KiB
Markdown
71 lines
2.0 KiB
Markdown
---
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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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# CyberAgentLM3-22B-Chat (CALM3-22B-Chat)
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## Model Description
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CyberAgentLM3 is a decoder-only language model pre-trained on 2.0 trillion tokens from scratch.
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CyberAgentLM3-Chat is a fine-tuned model specialized for dialogue use cases.
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
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model = AutoModelForCausalLM.from_pretrained("cyberagent/calm3-22b-chat", device_map="auto", torch_dtype="auto")
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tokenizer = AutoTokenizer.from_pretrained("cyberagent/calm3-22b-chat")
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streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
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messages = [
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{"role": "system", "content": "あなたは親切なAIアシスタントです。"},
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{"role": "user", "content": "AIによって私たちの暮らしはどのように変わりますか？"}
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]
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input_ids = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
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output_ids = model.generate(input_ids,
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max_new_tokens=1024,
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temperature=0.5,
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streamer=streamer)
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```
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## Prompt Format
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CALM3-Chat uses ChatML as the prompt format.
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```
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<|im_start|>system
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あなたは親切なAIアシスタントです。<|im_end|>
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<|im_start|>user
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AIによって私たちの暮らしはどのように変わりますか？<|im_end|>
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<|im_start|>assistant
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```
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## Model Details
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* **Model size**: 22B
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* **Context length**: 16384
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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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## How to cite
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```tex
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@misc{cyberagent-calm3-22b-chat,
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title={cyberagent/calm3-22b-chat},
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url={https://huggingface.co/cyberagent/calm3-22b-chat},
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author={Ryosuke Ishigami},
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year={2024},
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}
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``` |