Aeonium-v0-Base-1B / README.md
0x7o's picture
Update README.md
26dd2b0 verified
|
raw
history blame
3.08 kB
metadata
language:
  - ru
license: apache-2.0
pipeline_tag: text-generation
tags:
  - aeonium
inference:
  parameters:
    temperature: 0.8

Aeoinum v1 BaseWeb 1B

A state-of-the-art language model for Russian language processing. This checkpoint contains a preliminary version of the model with 1.6 billion parameters. Trained only on web pages.

Models

Name N of parameters N of dataset tokens Context window
Aeonium-v1-BaseWeb-1B 1.6B 32B 4K
Aeonium-v1-Base-1B 1.6B In training 4K

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

tokenizer = AutoTokenizer.from_pretrained("aeonium/Aeonium-v1-BaseWeb-1B")
model = AutoModelForCausalLM.from_pretrained("aeonium/Aeonium-v1-BaseWeb-1B").cuda()

input_ids = tokenizer("Искусственный интеллект - это", return_tensors='pt').to(model.device)["input_ids"]
output = model.generate(input_ids, max_new_tokens=48, do_sample=True, temperature=0.7)
print(tokenizer.decode(output[0]))

Output:

Искусственный интеллект - это не только про компьютеры и смартфоны. Его возможности безграничны, а с развитием интернета и интернета вещей он становится еще и самым настоящим оружием в борьбе с преступностью.
Мы поговорили с юристом о самых интересных и опасных способах использования ИИ.

Dataset Detail

The dataset for pre-training is collected from public data, most of which are web pages in Russian. The total size of the data is 32B tokens.

Training Detail

The training is performed thanks to a grant from TPU Research Cloud on a TPU v4-128 node.

Loss: 2.68; Accuracy: 0.48; Batch Size: 1024

Content Warning and Disclaimer

The Aeonium v1 language model can potentially generate text that contains biases, offensive language, misinformation, or other inappropriate content. As an AI system trained on broad data from the internet, it may reflect societal biases and produce content that is disapproving or objectionable. The creators cannot control or filter all possible outputs of the model.

The developers of Aeonium v1 condemn hate speech, discrimination, explicit violence, and other harmful content. However, they cannot guarantee the model will never generate such content. Users should exercise caution and critical judgment when using Aeonium v1.

The creators of Aeonium v1 shall not be held responsible for any improper, offensive, illegal or consequential damages arising from outputs generated by the model. Users access and utilize Aeonium v1 at their own risk.

Copyright

The model is released under the Apache 2.0 license.