mistralai/Mistral-7B-Instruct-v0.3
Generate text and speech from audio input
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Communicate with an AI assistant and convert text to speech
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Example on using Langfuse to trace Gradio applications.
Run Llama,Qwen,Gemma,Mistral, any warm/cold LLM. No GPU req.
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.