*: For reproducibility, we report the win rates evaluated by GPT-4.1. The code of Qwen3 has been in the latest Hugging Face transformers and we advise you to use the latest version of transformers. The following contains a code snippet illustrating how to use the model generate content based on given inputs. For deployment, you can use sglang>=0.4.6.post1 or vllm>=0.8.5 or to create an OpenAI-compatible API endpoint: — SGLang: For local use, applications such as Ollama, LMStudio, MLX-LM, llama.cpp, and KTransformers have also supported Qwen3. Qwen3 excels in tool calling capabilities. We recommend using Qwen-Agent to make the best use of agentic ability of Qwen3. Qwen-Agent encapsulates tool-calling templates and tool-calling parsers internally, greatly reducing coding complexity. To define the available tools, you can use the MCP configuration file, use the integrated tool of Qwen-Agent, or integrate other tools by yourself. To achieve optimal performance, we recommend the following settings: 1. Sampling Parameters: — We suggest using Temperature=0.7, TopP=0.8, TopK=20, and MinP=0. — For supported frameworks, you can adjust the presencepenalty` parameter between 0 and 2 to reduce…
Модальности:
Генерация текста
Области применения:
Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: p-e-w
Теги: qwen3, heretic, uncensored, decensored, abliterated, conversational, text-generation-inference, endpoints_compatible
Лайков: 4 | Загрузок: 340
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
