mistralai/Mistral-7B-Instruct-v0.3
Generate human-like text responses in conversation
Generate text chat conversations using images and text prompts
Engage in conversations with a smart AI assistant
llama.cpp server hosting a reasoning model CPU only.
Generate text based on user prompts
Create and manage OpenAI assistants for chat
Chat with an AI that understands images and text
Generate detailed, refined responses to user queries
Chat with PDF documents using AI
Generate responses in a chat with Qwen, a helpful assistant
Discover chat prompts with a searchable map
Start a debate with AI assistants
Mistral-7B-Instruct-v0.3 is a 7 billion parameter AI model developed by Mistral AI, designed for natural language understanding and generation. It is fine-tuned for instruction-following tasks, making it ideal for chatbot applications, question-answering, and providing information on a wide range of topics. The model is open-source and accessible for research and development purposes.
• 7 Billion Parameters: Offers high performance for complex language tasks.
• Instruction-Following: Capable of understanding and executing user instructions effectively.
• Conversational AI: Designed to engage in natural-sounding dialogues.
• Multilingual Support: Can handle multiple languages, making it versatile for global applications.
• Open-Source Accessibility: Free to use, modify, and distribute for research and commercial purposes.
• Low-Resource Requirements: Optimized for efficient deployment on standard hardware.
pip install transformersfrom transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
inputs = tokenizer("What is the capital of France?", return_tensors="np")
outputs = model(**inputs)
response = tokenizer.decode(outputs[0].argmax(-1), skip_padding=True)
print(response)
What is Mistral-7B-Instruct-v0.3 used for?
Mistral-7B-Instruct-v0.3 is primarily used for instruction-following tasks, such as chatbot applications, answering questions, and generating human-like text responses.
Is the model free to use?
Yes, the model is open-source and free to use under the Apache 2.0 license, allowing for both research and commercial applications.
Can Mistral-7B-Instruct-v0.3 handle multiple languages?
Yes, the model supports multiple languages, making it suitable for multilingual applications and global use cases.