mistralai/Mistral-7B-Instruct-v0.3
Generate chat responses from user input
Implement Gemini2 Flash Thinking model with Gradio
Chat with PDF documents using AI
Generate conversational responses to text input
Vegeta's personality and voice cloned
DocuQuery AI is an intelligent pdf chatbot
Chat with content from any website
Bored with typical gramatical correct conversations?
Engage in conversation with GPT-4o Mini
Display chatbot leaderboard and stats
Google Gemini Playground | ReffidGPT Chat
mistralai/Mistral-7B-Instruct-v0.3 is an AI language model developed by Mistral AI, designed specifically for conversational and instructive tasks. It belongs to the Mistral family of models and is fine-tuned to process and respond to user instructions effectively. With 7 billion parameters, this model is optimized for natural-sounding interactions and can handle a wide range of tasks, from answering questions to providing guidance.
• Instruction-Focused Design: Built to understand and execute user instructions accurately. • Conversational Flow: Generates human-like responses for seamless dialogue. • Versatility: Capable of handling various tasks, including problem-solving, explanations, and creative writing. • Efficiency: Optimized for performance while maintaining high-quality outputs. • Open-Source Accessibility: Available for developers and researchers to integrate into applications.
transformers library installed.AutoModelForCausalLM and AutoTokenizer to load the model and tokenizer.max_length and temperature to tailor outputs to your needs.Example code snippet:
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
response = model.generate(
tokenizer.encode("Your input here"),
max_length=100,
temperature=0.7,
)
print(tokenizer.decode(response[0]))
What is the primary purpose of Mistral-7B-Instruct-v0.3?
The primary purpose is to assist with instructive tasks, providing clear and actionable responses.
How does Mistral-7B differ from other Mistral models?
Mistral-7B-Instruct-v0.3 is fine-tuned for instruction-based tasks, unlike other Mistral models.
What are common use cases for this model?
Common use cases include customer support, language translation, and task automation.