amalsp/mistral-finetuned-chatbot

🔧 Mistral Fine-Tuned Chatbot for AI Tool Queries

This model is a fine-tuned version of TheBloke/OpenHermes-2.5-Mistral-7B-GGUF on a custom dataset of AI tool instructions. It's designed to behave as a conversational assistant that can answer technical queries related to popular AI tools.

🧠 Model Details

• Base model: OpenHermes-2.5-Mistral-7B-GGUF
• Fine-tuned on: Custom dataset of structured JSONL instructions
• Training platform: Google Colab Pro (A100 GPU)
• Fine-tuning method: Supervised fine-tuning using 🤗 Transformers + Datasets

📂 Example Use Cases

• 🛠️ Recommend and explain AI tools for different tasks
• 💬 Simulate chatbot responses about ML libraries, APIs, and platforms
• 🧪 Useful for education, technical support, and integration with AI assistants

💻 Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained("amalsp/mistral-finetuned-chatbot")
tokenizer = AutoTokenizer.from_pretrained("amalsp/mistral-finetuned-chatbot")

prompt = "What AI tool can I use for image generation?"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=150)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))