Mistral Nemo
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, and Hindi. It supports function calling and is released under the Apache 2.0 license.
mistralai/mistral-nemo
- Contexto
- 131k tokens
- Máx. completion
- 16,384
- Tools
- Sí
- JSON
- Sí
- Lanzamiento
- 2024-07-19
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": "mistralai/mistral-nemo",
"messages": [{"role": "user", "content": "Hola"}]
}'Preguntas frecuentes
- ¿Qué es Mistral Nemo?
- A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, and Hindi. It supports function calling and is released under the Apache 2.0 license. Mistral Nemo corre en el API de Geek Hub (compatible con OpenAI). Id: mistralai/mistral-nemo.
- ¿Mistral Nemo es gratis?
- No. El input cuesta $0.0207 / 1M tokens y el output $0.0327 / 1M tokens en Geek Hub (markup incluido).
- ¿Cuál es el contexto de Mistral Nemo?
- Mistral Nemo tiene una ventana de 131k tokens. Soporta hasta 16,384 tokens de completion.
- ¿Mistral Nemo soporta tool calling y structured outputs?
- Mistral Nemo acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
- ¿Cuándo se lanzó Mistral Nemo?
- Mistral Nemo se lanzó el 19 de julio de 2024.
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