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CodeGemma 1.1 7B

CodeGemma 1.1 7B generates clean, efficient code snippets and explanations.

A tradução deste card ainda não está disponível; parte do conteúdo aparece em inglês.

Sobre este modelo

CodeGemma 1.1 7B combines a strong grasp of syntax with practical coding advice, making it ideal for quick prototyping, learning new concepts, and debugging assistance. Its smaller size ensures fast inference while maintaining high relevance and clarity. Use it when you need concise, actionable code examples or explanations without extensive context.

The model is fine‑tuned on diverse programming corpora, enabling it to recognize common patterns and suggest idiomatic solutions. It can also translate between languages, refactor existing code, and generate unit‑test snippets. Its balanced performance makes it suitable for both beginners seeking guidance and experienced developers looking for rapid solutions.

Distinctive features include built‑in documentation references, clear comment generation, and a focus on producing minimal yet functional code. This approach helps users learn best practices while keeping outputs easy to integrate into real projects.

Melhores casos de uso

Generate a function to calculate Fibonacci numbers
Explain how to use list comprehensions in Python
Refactor a loop into a more Pythonic one‑liner
Create a simple API endpoint with Node.js
Debug a syntax error in JavaScript code

Pontos fortes

Concise Code Generation

Produces clean, efficient snippets with minimal context.

Clear Explanations

Provides understandable reasoning alongside code examples.

Multi‑Language Support

Handles syntax and idioms across several programming languages.

Dicas

Include the target language name for more accurate code.
Specify desired complexity (e.g., beginner vs. advanced).
Ask for comments or documentation alongside the code.
Request refactoring steps to understand improvements.

Limitações

May miss edge cases without explicit problem details.
Output size limited to short snippets.
Requires precise prompts for best results.

Exemplos de geração

Exemplo em breve

Sorting Algorithm

Provide an optimized bubble sort implementation in JavaScript.

Exemplo em breve

Dictionary Lookup

Show how to use a dictionary to count word frequencies in Python.

Exemplo em breve

Class Design

Design a simple Python class for a bank account with deposit and withdraw methods.

Prompts de exemplo

Fibonacci Function

Write a Python function that returns the nth Fibonacci number.

List Comprehension Explanation

Explain how a list comprehension works in Python with an example.

API Endpoint

Create a simple Express.js endpoint that returns a JSON greeting.

Parâmetros

seed

Ensures reproducible results by fixing random generation.

top_p

Limits the model to top probability tokens for focused output.

max_tokens

Sets the maximum length of the generated code snippet.

temperature

Controls randomness; lower values give more deterministic code.

Preços

Preço sob consulta

Os preços exibidos são o que você paga na Muitto. Sem surpresas.

Perguntas frequentes

What programming languages does CodeGemma support?

It supports multiple popular languages like Python, JavaScript, Java, and more.

Can I get code with built‑in comments?

Yes, just ask for comments or documentation in your prompt.

Is the model suitable for learning programming concepts?

Absolutely, it explains concepts with clear, practical examples.