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Opencodereasoning Nemotron 14B GGUF

Developed by Mungert
OpenCodeReasoning-Nemotron-14B is a large language model based on Qwen2.5-14B-Instruct with post-training, specifically optimized for code generation and reasoning, supporting a 32K token context length.
Downloads 507
Release Time : 5/14/2025

Model Overview

This model is a derivative version optimized for code generation and reasoning tasks, suitable for both commercial and non-commercial use, and excels in solving programming problems and code generation tasks.

Model Features

Long context support
Supports a 32K token context length, ideal for handling complex code generation tasks.
Code optimization
Post-trained specifically for code generation and reasoning tasks, excelling in solving programming problems.
Commercial usability
The model can be used for both commercial and non-commercial purposes under the apache-2.0 license.

Model Capabilities

Code generation
Programming problem solving
Code reasoning
Python programming

Use Cases

Programming education
Programming problem solving
Helps students understand and solve programming problems, such as algorithm implementation and data structures.
Achieved an average score of 59.4 on the LiveCodeBench benchmark
Software development
Code generation
Automatically generates Python code snippets or complete programs based on requirements.
Scored 23.6 on the CodeContest benchmark
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