Mistral (7B) Instruct
Instruct Precisely
Deploy Mistral 7B Instruct
32k Context
Handle Long Sequences
Process extended conversations and documents with full attention mechanism.
Fast Inference
Grouped-Query Attention
Achieve high-speed generation via GQA for efficient API calls.
Instruction Tuned
Follow Complex Tasks
Execute instructions, code gen, and dialogues from Mistral (7B) Instruct model.
Examples
See what Mistral (7B) Instruct can create
Copy any prompt below and try it yourself in the playground.
Code Snippet
“Write a Python function to sort a list of dictionaries by a key value, handling missing keys gracefully. Include type hints and docstring.”
Data Summary
“Summarize this sales report: [insert long report text]. Highlight top products, revenue trends, and recommendations in bullet points.”
Tech Explanation
“Explain transformer attention mechanisms step-by-step for beginners, using simple analogies and no math.”
Task Automation
“Generate a bash script to backup directories older than 30 days to S3, with logging and error handling.”
For Developers
A few lines of code.
Instruct. One API call.
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per token, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Mistral (7B) Instruct on ModelsLab.