aeonium
/

Aeonium-v0-Base-1B

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 ---
+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-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](https://sites.research.google/trc/about/) on a TPU v4-128 node.
+## Copyright
+The model is released under the Apache 2.0 license.