> [!NOTE] > If you are using llama.cpp, use —jinja to enable the system prompt. > Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. The GLM family welcomes a new generation of open-source models, the GLM-4-32B-0414 series, featuring 32 billion parameters. Its performance is comparable to OpenAI’s GPT series and DeepSeek’s V3/R1 series, and it supports very user-friendly local deployment features. GLM-4-32B-Base-0414 was pre-trained on 15T of high-quality data, including a large amount of reasoning-type synthetic data, laying the foundation for subsequent reinforcement learning extensions. In the post-training stage, in addition to human preference alignment for dialogue scenarios, we also enhanced the model’s performance in instruction following, engineering code, and function calling using techniques such as rejection sampling and reinforcement learning, strengthening the atomic capabilities required for agent tasks. GLM-4-32B-0414 achieves good results in areas such as engineering code, Artifact generation, function calling, search-based Q&A, and report generation. Some benchmarks even rival larger models like GPT-4o and DeepSeek-V3-0324…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: unsloth
Теги: gguf, unsloth, zh, en, endpoints_compatible, imatrix, conversational
Лайков: 4 | Загрузок: 772
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
