Update README.md

README.md

@@ -1,3 +1,46 @@
 ---
+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).