cyberagent_-_calm2-7b-chat-8bits

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calm2-7b-chat - bnb 8bits

• Model creator: https://huggingface.co/cyberagent/
• Original model: https://huggingface.co/cyberagent/calm2-7b-chat/

Original model description:

license: apache-2.0 language:

• ja
• en tags:
• japanese
• causal-lm inference: false

---

CyberAgentLM2-7B-Chat (CALM2-7B-Chat)

Model Description

CyberAgentLM2-Chat is a fine-tuned model of CyberAgentLM2 for dialogue use cases.

Requirements

• transformers >= 4.34.1
• accelerate

Usage

import transformers
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer

assert transformers.__version__ >= "4.34.1"

model = AutoModelForCausalLM.from_pretrained("cyberagent/calm2-7b-chat", device_map="auto", torch_dtype="auto")
tokenizer = AutoTokenizer.from_pretrained("cyberagent/calm2-7b-chat")
streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)

prompt = """USER: AIによって私達の暮らしはどのように変わりますか？
ASSISTANT: """

token_ids = tokenizer.encode(prompt, return_tensors="pt")
output_ids = model.generate(
    input_ids=token_ids.to(model.device),
    max_new_tokens=300,
    do_sample=True,
    temperature=0.8,
    streamer=streamer,
)

Chat Template

USER: {user_message1}
ASSISTANT: {assistant_message1}<|endoftext|>
USER: {user_message2}
ASSISTANT: {assistant_message2}<|endoftext|>
USER: {user_message3}
ASSISTANT: {assistant_message3}<|endoftext|>

Model Details

• Model size: 7B
• Context length: 32768
• Model type: Transformer-based Language Model
• Language(s): Japanese, English
• Developed by: CyberAgent, Inc.
• License: Apache-2.0

Author

Ryosuke Ishigami

Citations

@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}
}