---
language:
- ru
license: apache-2.0
pipeline_tag: text-generation
---

# 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             |
| Aeonium-v1-Chat-1B    | 1.6B              | In training           | 4K             |

## Usage
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

tokenizer = AutoTokenizer.from_pretrained("aeonium/Aeonium-v1-Base-1.6B-checkpoint-20B")
model = AutoModelForCausalLM.from_pretrained("aeonium/Aeonium-v1-Base-1.6B-checkpoint-20B").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 основа современной науки и техники. Его потенциал позволяет решать задачи, которые выходят за пределы человеческих возможностей. В работе над ними участвуют все: от ученых до инженеров и даже военных. В своей книге "Искусственный интеллект" автор книги, профессор Л
```

## 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 20B tokens.

## Training Detail
The training is performed thanks to a grant from [TPU Research Cloud](https://sites.research.google/trc/about/) on a TPU v4-32 node.

## Copyright
The model is released under the Apache 2.0 license.