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language:
- ru
license: mit
tags:
- text-generation
- pytorch
- qwen2
- russian
- tensor
pipeline_tag: text-generation
---
# Tensor-2-40m-base
Tensor-2-40m-base is a Russian-language language model from the **Tensor** series, developed as part of the **GribAI** project. This is a base (pretrain) model without instruction tuning.
## Description
Compared to previous models in the series, Tensor-2-40m-base shows noticeably better text continuation and stronger understanding of the Russian language — both grammatically and in terms of semantic coherence between sentences.
## Training
The model was trained on **70 MB** of Russian-language text data.
## Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "VGribAI/Tensor-2-40m-base"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
prompt = "Привет, как дела"
inputs = tokenizer(prompt, return_tensors="pt")
output = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(output[0], skip_special_tokens=True))
```
## Limitations
This is a base (pretrain) model with no dialogue alignment — it's meant for text continuation, not for answering questions or following instructions.
**GribAI** project (VGribAI). |