Edit model card

Aeoinum v1 BaseWeb 4B

A state-of-the-art language model for Russian language processing. This checkpoint contains a preliminary version of the model with 4 billion parameters. Trained only on web pages.

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

tokenizer = AutoTokenizer.from_pretrained("aeonium/Aeonium-v1-Base-4B")
model = AutoModelForCausalLM.from_pretrained("aeonium/Aeonium-v1-Base-4B").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]))

Dataset Detail

The dataset for pre-training is collected from public data, most of which are web pages in Russian.

Training Detail

The training is performed thanks to a grant from TPU Research Cloud on a TPU v4-256 node.

Content Warning

Aeonium v1 is a large language model trained on a broad dataset from the internet. As such, it may generate text that contains biases, offensive language, or other disapproving content. The model outputs should not be considered factual or representative of any individual's beliefs or identity. Users should exercise caution and apply careful filtering when using Aeonium's generated text, especially for sensitive or high-stakes applications. The developers do not condone generating harmful, biased, or unethical content.

Copyright

The model is released under the Apache 2.0 license.

Downloads last month
21
Safetensors
Model size
4.04B params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.