Qwen2.5 7B Instruct
Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains. - Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots. - Long-context Support up to 128K tokens and can generate up to 8K tokens. - Multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more. Usage of this model is subject to [Tongyi Qianwen LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE).
qwen/qwen-2.5-7b-instruct
- Contexto
- 33k tokens
- Máx. completion
- 32,768
- Tools
- Sí
- JSON
- Sí
- Lanzamiento
- 2024-10-16
Llámalo desde Geek Hub
El mismo SDK de OpenAI. Cambia el base URL y el id del modelo.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen/qwen-2.5-7b-instruct",
"messages": [{"role": "user", "content": "Hola"}]
}'Consigue tu API keyPreguntas frecuentes
- ¿Qué es Qwen2.5 7B Instruct?
- Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains. - Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots. - Long-context Support up to 128K tokens and can generate up to 8K tokens. - Multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more. Usage of this model is subject to [Tongyi Qianwen LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE). Qwen2.5 7B Instruct corre en el API de Geek Hub (compatible con OpenAI). Id: qwen/qwen-2.5-7b-instruct.
- ¿Qwen2.5 7B Instruct es gratis?
- No. El input cuesta $0.109 / 1M tokens y el output $0.218 / 1M tokens en Geek Hub (markup incluido).
- ¿Cuál es el contexto de Qwen2.5 7B Instruct?
- Qwen2.5 7B Instruct tiene una ventana de 33k tokens. Soporta hasta 32,768 tokens de completion.
- ¿Qwen2.5 7B Instruct soporta tool calling y structured outputs?
- Qwen2.5 7B Instruct acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
- ¿Cuándo se lanzó Qwen2.5 7B Instruct?
- Qwen2.5 7B Instruct se lanzó el 16 de octubre de 2024.
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