Total runs:
70.8M
Run Growth:
2.5M
Growth Rate:
3.46%
Sponsored by
Articos
BAAI / Aquila2-70B-Expr
Model's Last Updated: July 13 2026
text-generation
Introduction of Aquila2-70B-Expr
Model Details of Aquila2-70B-Expr
English | 简体中文
We opensource our Aquila2 series, now including Aquila2 , the base language models, namely Aquila2-7B , Aquila2-34B and Aquila2-70B-Expr , as well as AquilaChat2 , the chat models, namely AquilaChat2-7B , AquilaChat2-34B and AquilaChat2-70B-Expr , as well as the long-text chat models, namely AquilaChat2-7B-16k and AquilaChat2-34B-16k
The additional details of the Aquila model will be presented in the official technical report. Please stay tuned for updates on official channels.
Quick Start
1. Inference
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
from transformers import BitsAndBytesConfig
model_info = "BAAI/Aquila2-70B-Expr"
tokenizer = AutoTokenizer.from_pretrained(model_info, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(model_info, trust_remote_code=True)
model.eval()
text = "请给出10个要到北京旅游的理由。"
tokens = tokenizer.encode_plus(text)['input_ids']
tokens = torch.tensor(tokens)[None,].to(device)
stop_tokens = ["###", "[UNK]", "</s>"]
with torch.no_grad():
out = model.generate(tokens, do_sample=True, max_length=512, eos_token_id=100007, bad_words_ids=[[tokenizer.encode(token)[0] for token in stop_tokens]])[0]
out = tokenizer.decode(out.cpu().numpy().tolist())
print(out)
License
Aquila2 70B series open-source model is licensed under BAAI Aquila 70B Model Licence Agreement
Runs of BAAI Aquila2-70B-Expr on huggingface.co
152
Total runs
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24-hour runs
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3-day runs
-7
7-day runs
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30-day runs
More Information About Aquila2-70B-Expr huggingface.co Model
Url of Aquila2-70B-Expr
Aquila2-70B-Expr huggingface.co Url
Provider of Aquila2-70B-Expr huggingface.co
Other API from BAAI
Updated:February 22 2024
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