--- license: mit datasets: - raincandy-u/TinyChat language: - en tags: - lm - 12m - VDRONT --- **FP16** **Ru:** **VDrontV2-mini** имеет около 10 миллионов параметров и является языковой моделью (LM), обученной на датасете **raincandy-u/TinyChat** до значения потерь (loss) 1.0. Умеет продолжать простые диалоги, подобные тем, что в датасете, но не очень хорошо. **Пример диалогов (temp 0.7):** ```text 👤 You: Do you like dogs? \n 🤖 Assistant: Yes, I do. We should like to me. Why do we have a leader? Because they are very good at home. I want to be a bike too. Can you teach me? Yes, I can. My mom's new. What does your favorite food? It's about a bike. I want to draw a dog. It's kind of my friend. I want to see a cat. Do you have a dog. But I like it? Yes, I want to ride a dog. He is a cat. I want to read you. Me too! I like to eat a dog. I want to go to be a pet dog. How many things too. But I like to read it. I like cars. My family is a pet? Let's dog ``` use.py - пример чата с ней на температуре 0.4. En: VDrontV2-mini has about 10 million parameters and is a language model (LM) trained on the raincandy-u/TinyChat dataset until reaching a loss value of 1.0. It can continue simple conversations similar to those found in the dataset, but not very well. Example dialogues (temp 0.7): ```text 👤 You: Do you like dogs? \n 🤖 Assistant: Yes, I do. We should like to me. Why do we have a leader? Because they are very good at home. I want to be a bike too. Can you teach me? Yes, I can. My mom's new. What does your favorite food? It's about a bike. I want to draw a dog. It's kind of my friend. I want to see a cat. Do you have a dog. But I like it? Yes, I want to ride a dog. He is a cat. I want to read you. Me too! I like to eat a dog. I want to go to be a pet dog. How many things too. But I like to read it. I like cars. My family is a pet? Let's dog ``` use.py — an example chat session with it at a temperature of 0.4.