OpenCodeReasoning-Nemotron-14B is a large language model (LLM) which is a derivative of Qwen2.5-14B-Instruct (AKA the reference model). It is a reasoning model that is post-trained for reasoning for code generation. The model supports a context length of 32K tokens. Below results are the average of 64 evaluations on each benchmark. python for just the final solution code block with the following format: messages = [ { «role»: «user», «content»: prompt.format(user=»Write a program to calculate the sum of the first $N$ fibonacci numbers»)}, ] outputs = pipeline( messages, maxnewtokens=32768, ) print(outputs[0][«generated_text»][-1][‘content’]) @article{ahmad2025opencodereasoning, title={OpenCodeReasoning: Advancing Data Distillation for Competitive Coding}, author={Wasi Uddin Ahmad, Sean Narenthiran, Soms
Модальности:
Генерация текста
Области применения:
Генерация кода Диалог / чат
Задача: Генерация текста
Автор: Mungert
Теги: gguf, nvidia, code, en, endpoints_compatible, conversational
Лайков: 3 | Загрузок: 893
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
