Update README.md and LICENSE (#2)

- update README and add LICENSE (af8d250df903c3c892662727feef86606bbb822d)

LICENSE

@@ -0,0 +1,202 @@
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README.md

@@ -2,9 +2,23 @@
 language:
 - ru
 ---
-# T-pro-it-1.0 
+# T-pro-it-1.0
+
+
+## Description
+
+T-pro-it-0.1 was trained in bf16. 
+
+Detailed model card’s coming soon…
+
+### 📚 Dataset
+
+Detailed model card’s coming soon…
+
+## 📊 Benchmarks
 
 Detailed model card’s coming soon…
+Here we present the results of T-pro-it-1.0 on automatic benchmarks.
 
 ## 👨‍💻 Examples of usage
 
@@ -13,12 +27,18 @@ Detailed model card’s coming soon…
 from transformers import AutoTokenizer, AutoModelForCausalLM
 import torch
 torch.manual_seed(42)
-model_name = "t-tech/T-pro-it-1.0"
+
+model_name = "t-tech/T-lite-pro-1.0"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
+model = AutoModelForCausalLM.from_pretrained(
+    model_name, 
+    torch_dtype="auto",
+    device_map="auto",
+)
+
 prompt = "Напиши стих про машинное обучение"
 messages = [
-    {"role": "system", "content": "Ты T-pro, виртуальный ассистент в Т-Технологии. Твоя задача - быть полезным диалоговым ассистентом."},
+    {"role": "system", "content": "Ты T-lite, виртуальный ассистент в Т-Технологии. Твоя задача - быть полезным диалоговым ассистентом."},
     {"role": "user", "content": prompt}
 ]
 text = tokenizer.apply_chat_template(
@@ -27,6 +47,7 @@ text = tokenizer.apply_chat_template(
     add_generation_prompt=True
 )
 model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+
 generated_ids = model.generate(
     **model_inputs,
     max_new_tokens=256
@@ -34,24 +55,31 @@ generated_ids = model.generate(
 generated_ids = [
     output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
 ]
+
 response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
+
 print(response)
 ```
 
 Output:
 ```
-В мире данных и алгоритмов, где путь просветления лежит,  
-Машинное обучение — как звезда, что светом знаний сияет.  
-Слои нейронов, как мозг огромный, в цифровой тишине дремлют,  
-Изучают закономерности, скрытые в числах глубоко.
-
-Оно учится на примерах, как ребёнок, открывая мир,  
-На ошибках своих корректируясь, шаг за шагом к совершенству стремится.  
-Где раньше требовалась рука человека, теперь сеть сама решает,  
-Прогнозы точные строит, решения сложные принимает.
-
-В облаках данных, как корабль, плывёт через шторм и спокойствие,  
-Поиск закономерностей — его цель, открыть тайны бытия.  
-От распознавания лиц до понимания речи,  
-Машинное обучение — это ключ, что открывает двери.
+В мире данных, где цифры танцуют,  
+Машинное обученье — ведущий вальс.  
+Алгоритмы учатся, как дети,  
+На примерах, как на сказочных страницах.
+
+Они ищут закономерности в потоках,  
+Как мудрецы в древних свитках.  
+С каждым шагом всё точнее предсказания,  
+Вот так, словно волшебство, оживает.
+
+Обучаясь на ошибках, они растут,  
+Из простых моделей в сложные формы.  
+Каждый новый пример — как новая строка,  
+В книге знаний, что не знает конца.
+
+Не бойтесь перемен, ведь это — путь,  
+Который ведёт к будущему, светлому и новому.  
+Машинное обученье — наш проводник,  
+В этом мире, где технологии царят.
 ```