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Opencodereasoning Nemotron 32B IOI

Developed by nvidia
OpenCodeReasoning-Nemotron-32B-IOI is a large language model based on Qwen2.5-32B-Instruct, specifically fine-tuned for code generation tasks with support for 32K token context length.
Downloads 152
Release Time : 5/7/2025

Model Overview

This model is an inference-optimized model for code generation tasks, supporting multiple programming languages including Python and C++. It can be used for both commercial and non-commercial purposes, suitable for tasks such as code generation, code completion, and programming problem solving.

Model Features

Long context support
Supports 32K token context length, ideal for handling complex code generation tasks.
Multilingual code generation
Supports multiple programming languages including Python and C++, capable of generating high-quality code.
High-performance inference
Demonstrates excellent performance in multiple code generation benchmarks such as LiveCodeBench and CodeContests.

Model Capabilities

Code generation
Code completion
Programming problem solving
Multilingual support

Use Cases

Programming education
Programming problem solving
Helps students understand and solve programming problems, such as calculating the sum of Fibonacci sequences.
Generates high-quality code solutions to assist students in learning and practicing programming.
Software development
Code generation
Automatically generates code snippets to improve development efficiency.
Produces compliant code, reducing the time required for manual coding.
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