Deepseek Coder 33B Instruct
Code Writes Itself
Master Code Generation
33B Parameters
Project-Level Completion
Handles 16K context for code infilling across 80+ languages with Deepseek Coder 33B Instruct model.
Instruction Tuned
Precise Code Reasoning
Follows developer prompts for generation, refactoring, and debugging via Deepseek Coder 33B Instruct API.
Fine-Tunable
Custom Data Training
Adapt Deepseek Coder 33B Instruct with LoRA on your datasets for specialized coding tasks.
Examples
See what Deepseek Coder 33B Instruct can create
Copy any prompt below and try it yourself in the playground.
REST API
“Write a FastAPI endpoint that accepts JSON input for user registration, validates email with pydantic, hashes password with bcrypt, and stores in PostgreSQL with SQLAlchemy. Include error handling and response models.”
Algorithm Optimize
“Refactor this Python bubble sort to quicksort with O(n log n) complexity. Add type hints, docstrings, and unit tests using pytest. Original code: def bubble_sort(arr): ...”
React Hook
“Create a custom React hook useAsyncQuery that fetches data from a GraphQL endpoint, handles loading, error, and refetch states. Use TypeScript, Apollo Client, and include debounce for search inputs.”
Docker Script
“Generate a multi-stage Dockerfile for a Node.js app with Yarn, production build, Nginx serve, healthcheck, and non-root user. Optimize layers and include .dockerignore best practices.”
For Developers
A few lines of code.
Code gen. One 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 Deepseek Coder 33B Instruct on ModelsLab.