This model was generated using llama.cpp at commit b9c3eefd. We introduce AceInstruct, a family of advanced SFT models for coding, mathematics, and general-purpose tasks. The AceInstruct family, which includes AceInstruct-1.5B, 7B, and 72B, is Improved using Qwen. These models are fine-tuned on Qwen2.5-Base using general SFT datasets. These same datasets are also used in the training of AceMath-Instruct. Different from AceMath-Instruct which is specialized for math questions, AceInstruct is versatile and can be applied to a wide range of domains. Benchmark evaluations across coding, mathematics, and general knowledge tasks demonstrate that AceInstruct delivers performance comparable to Qwen2.5-Instruct. We compare AceInstruct to Qwen2.5-Instruct across coding, mathematics, and general knowledge tasks. We find that AceInstruct-1.5B outperforms Qwen2.5-1.5B-Instruct (61.94 vs. 57.33), while AceInstruct-7B and AceInstruct-72B perform similarly to Qwen2.5-7B-Instruct and Qwen2.5-72B-Instruct. — AceMath-1.5B-Instruct, AceMath-7B-Instruct, AceMath-72B-Instruct — AceMath-RewardBench, AceMath-Instruct Training Data, AceMath-RM Training Data Zihan Liu (zihanl@nvidia.com), Yang Chen…
Модальности:
Генерация текста
Области применения:
Генерация кода Математика Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: Mungert
Теги: gguf, nvidia, AceInstruct, code, math, general_domain, instruct_model, en
Лайков: 3 | Загрузок: 317
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
