Update README.md

README.md

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 ---
+language:
+- ru
 license: mit
+tags:
+- text-generation
+- pytorch
+- qwen2
+- russian
+- tensor
+- instruct
+- sft
+pipeline_tag: text-generation
 ---
+
+# Tensor-2-40m-instruct
+
+Tensor-2-40m-instruct is a Russian-language language model from the **Tensor** series, developed as part of the **GribAI** project. This is an instruction-tuned version of [Tensor-2-40m-base](https://huggingface.co/VGribAI/Tensor-2-40m-base), fine-tuned to follow instructions and hold a dialogue.
+
+## Description
+
+Built on top of Tensor-2-40m-base, this model was additionally fine-tuned on a **150 MB** SFT (supervised fine-tuning) dataset, including code-related data. As a result, it follows instructions more reliably and handles code-related prompts better than the base model.
+
+## Training
+
+- Base model: Tensor-2-40m-base
+- SFT dataset: 150 MB, including code
+- Stage: supervised fine-tuning (SFT)
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "VGribAI/Tensor-2-40m-instruct"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+prompt = "Напиши функцию на Python, которая считает факториал числа"
+inputs = tokenizer(prompt, return_tensors="pt")
+output = model.generate(**inputs, max_new_tokens=200)
+
+print(tokenizer.decode(output[0], skip_special_tokens=True))
+```
+
+## Limitations
+
+As a small model, it may still make mistakes in complex reasoning, long-context tasks, or less common domains. Always verify generated code before running it.
+**GribAI** project (VGribAI).