README.md

---
license: apache-2.0
language:
- ja
- en
tags:
- japanese
- causal-lm
inference: false
---
# CyberAgentLM3-22B-Chat (CALM3-22B-Chat)

## Model Description

CyberAgentLM3 is a decoder-only language model pre-trained on 2.0 trillion tokens from scratch.  
CyberAgentLM3-Chat is a fine-tuned model specialized for dialogue use cases.

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer

model = AutoModelForCausalLM.from_pretrained("cyberagent/calm3-22b-chat", device_map="auto", torch_dtype="auto")
tokenizer = AutoTokenizer.from_pretrained("cyberagent/calm3-22b-chat")
streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)

messages = [
    {"role": "system", "content": "あなたは親切なAIアシスタントです。"},
    {"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？"}
]

input_ids = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
output_ids = model.generate(input_ids,
                            max_new_tokens=1024,
                            temperature=0.5,
                            streamer=streamer)
```

## Prompt Format
CALM3-Chat uses ChatML as the prompt format.
```
<|im_start|>system
あなたは親切なAIアシスタントです。<|im_end|>
<|im_start|>user
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|>
<|im_start|>assistant
```

## Model Details

* **Model size**: 22B
* **Context length**: 16384
* **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)

## How to cite

```tex
@misc{cyberagent-calm3-22b-chat,
      title={cyberagent/calm3-22b-chat},
      url={https://huggingface.co/cyberagent/calm3-22b-chat},
      author={Ryosuke Ishigami},
      year={2024},
}
```