🛠️ MCP Tool Model
The MCP Tool Model is an instruction-tuned conversational language model fine-tuned on the conversation_data_mcp_100 dataset. Built to handle multi-turn dialogues with clarity and coherence, this model is ideal for chatbot development, virtual assistants, or any conversational AI tasks.
🧠 Model Details
- Base Model: mistralai/Mistral-7B-Instruct-v0.2
- Fine-tuned on: Custom multi-turn conversation dataset (
yashsoni78/conversation_data_mcp_100) - Languages: English
- Use case: General-purpose chatbot or instruction-following agent
🚀 Example Usage
You can load and use the model with the Hugging Face Transformers library:
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model_name = "yashsoni78/mcp_tool_model"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
input_text = "User: How do I reset my password?\nAssistant:"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
💡 Make sure to adapt the prompt formatting depending on your training setup (e.g., special tokens, roles, etc.)
📚 Training Data
This model was fine-tuned on the MCP 100 conversation dataset, consisting of 100 high-quality multi-turn dialogues between users and assistants. Each exchange is structured to reflect real-world inquiry-response flows.
📊 Intended Use
- Chatbots for websites or tools
- Instruction-following agents
- Dialogue research
- Voice assistant backend
⚠️ Limitations
- May hallucinate facts or generate inaccurate responses.
- Trained on a small dataset (100 dialogues), so generalization may be limited.
- English only.
📜 License
This model is licensed under the MIT License. You are free to use, modify, and distribute it with attribution.
🙏 Acknowledgements
Special thanks to the open-source community and Hugging Face for providing powerful tools to build and share models easily.
📬 Contact
For issues, feedback, or collaborations, feel free to reach out to @yashsoni78.