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Agnuxo
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Agente-GPT-Qwen2.5-3B-Instruct-Spanish_16bit

Text Generation
Transformers
Safetensors
English
Spanish
qwen2
text-generation-inference
unsloth
trl
sft
conversational
Inference Endpoints
Model card Files Community
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Trained with Unsloth

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Files changed (6) hide show
  1. README.md +2 -133
  2. config.json +31 -0
  3. generation_config.json +15 -0
  4. model-00001-of-00002.safetensors +3 -0
  5. model-00002-of-00002.safetensors +3 -0
  6. model.safetensors.index.json +442 -0
README.md CHANGED
@@ -2,7 +2,6 @@
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  base_model: unsloth/qwen2.5-3b-instruct-bnb-4bit
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  language:
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  - en
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- - es
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  license: apache-2.0
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  tags:
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  - text-generation-inference
@@ -11,144 +10,14 @@ tags:
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  - qwen2
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  - trl
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  - sft
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- datasets:
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- - Agnuxo/Agente-Director
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  ---
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- # Uploaded model
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- [<img src="https://github.githubassets.com/assets/GitHub-Mark-ea2971cee799.png" width="100"/><img src="https://github.githubassets.com/assets/GitHub-Logo-ee398b662d42.png" width="100"/>](https://github.com/Agnuxo1)
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- - **Developed by:** [Agnuxo](https://github.com/Agnuxo1/Explicaci-n-Debate-PDF)
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  - **Developed by:** Agnuxo
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  - **License:** apache-2.0
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- - **Finetuned from model :** unsloth/qwen2.5-7b-bnb-4bit
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  This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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  [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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-
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-
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- # Lector y Debatidor de Documentos 📚🗣️
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-
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- Este modelo es parte de un sistema de lectura y debate de documentos que utiliza dos modelos de lenguaje para generar explicaciones y simular debates sobre el contenido de documentos PDF y TXT.
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-
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- ## Descripción del Modelo
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-
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- El sistema utiliza dos modelos principales:
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-
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- 1. **Agente-GPT (Profesor)**: `Agnuxo/Agente-GPT-Qwen-2.5-7B-Spanish_16bit`
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- - Basado en Qwen 2.5 7B, adaptado para español
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- - Función: Explicar documentos y generar preguntas para el debate
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-
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- 2. **Agente-Llama (Periodista)**: `Agnuxo/Agente-Llama-3.1-Spanish_16bit`
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- - Basado en Llama 3.1, adaptado para español
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- - Función: Responder preguntas y participar en el debate con un estilo periodístico
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-
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- ## Uso Previsto
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-
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- Este modelo está diseñado para:
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- - Analizar y explicar documentos en español
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- - Generar debates simulados sobre el contenido de los documentos
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- - Proporcionar una experiencia interactiva de aprendizaje y discusión
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-
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- ## Limitaciones y Sesgos
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-
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- - Los modelos están optimizados para el idioma español y pueden tener un rendimiento limitado en otros idiomas.
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- - La calidad del debate depende de la calidad y relevancia del documento de entrada.
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- - Pueden existir sesgos inherentes a los datos de entrenamiento utilizados.
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-
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- ## Consideraciones Éticas
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-
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- - El sistema no debe utilizarse para generar o propagar información falsa o engañosa.
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- - Los usuarios deben ser conscientes de que las respuestas son generadas por IA y pueden requerir verificación humana.
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-
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- ## Métricas de Evaluación
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-
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- - Perplexidad: [Valor]
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- - Precisión en tareas de comprensión de lectura: [Valor]
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-
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- ## Entrenamiento
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-
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- Los modelos fueron fine-tuned utilizando el dataset `Agnuxo/Spanish-Debate-Dataset`, que contiene:
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- - Transcripciones de debates en español
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- - Artículos periodísticos y académicos
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- - Resúmenes de documentos en diversos campos
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-
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- # Explicación-Debate-PDF-VOZ
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- Programa en local para subir documentos PDF o TXT en cualquier idioma, con Opción de consuta, explicación y Debate sobre el documento entre dos LLM GPT y Llama, con salida de voz en Español.
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-
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- ## 🖥️ Interfaz de Usuario
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- La interfaz gráfica incluye:
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-
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- - 💬 Área de chat para mostrar el debate
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- - 🎛️ Controles de velocidad de voz
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- - 🔢 Ajustes de límite de tokens
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- - 📂 Botón para cargar documentos
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- - ▶️ Botones para iniciar explicación o debate
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-
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- ## 🧠 Modelos de IA
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-
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- El programa utiliza dos modelos de lenguaje:
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-
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- - 🧑‍🏫 **Profesor-GPT**: Basado en "GPT"
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- - 👩‍🎤 **Periodista LLAMA**: Basado en "Meta-Llama-3.1-8B"
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-
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-
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- ## 🎙️ Síntesis de Voz
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- Se utilizan dos modelos de TTS:
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- - 🇪🇸 Modelo español para el Profesor-GPT
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- - 🇦🇷 Modelo con acento argentino para la Periodista LLAMA
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- ## 📝 Notas Adicionales
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- - El programa convierte números y fórmulas a texto para mejorar la síntesis de voz.
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- - Se incluyen controles para ajustar la velocidad de reproducción de voz.
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- - La interfaz permite una fácil navegación y control del proceso de lectura y debate.
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-
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-
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- ---
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-
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- Desarrollado por [Francisco Angulo de Lafuente]
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-
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- # 📚 Lector y Debatidor de Documentos
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-
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- ![Banner](https://github.com/Agnuxo1/Explicaci-n-Debate-PDF)
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-
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- ## 🌟 Características Principales
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-
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- - 📖 Lectura de documentos PDF y TXT
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- - 🗣️ Explicación del contenido en español
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- - 🎭 Debate simulado entre dos IA
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- - 🔊 Síntesis de voz para las respuestas
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- - 🖥️ Interfaz gráfica moderna y fácil de usar
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-
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- ## 🛠️ Tecnologías Utilizadas
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-
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- - Python
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- - PyQt5 para la interfaz gráfica
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- - Transformers para modelos de lenguaje
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- - TTS para síntesis de voz
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- - PyPDF2 para lectura de PDFs
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- ## 🚀 Cómo Funciona
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- El programa ofrece una experiencia interactiva de lectura y debate de documentos:
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- 1️⃣ **Carga de Documentos**: Sube fácilmente archivos PDF o TXT.
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- 2️⃣ **Explicación del Contenido**: Una IA explica el documento de forma clara y concisa.
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- 3️⃣ **Debate Simulado**: Dos IA, un "Profesor-GPT" y una "Periodista LLAMA", debaten sobre el contenido.
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- 4️⃣ **Síntesis de Voz**: Las respuestas se convierten en audio para una experiencia más inmersiva.
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- 5️⃣ **Interacción del Usuario**: Participa en el debate añadiendo tus propios comentarios o preguntas.
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- ## Citación
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-
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- Si utilizas este modelo en tu investigación, por favor cita:
 
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  base_model: unsloth/qwen2.5-3b-instruct-bnb-4bit
3
  language:
4
  - en
 
5
  license: apache-2.0
6
  tags:
7
  - text-generation-inference
 
10
  - qwen2
11
  - trl
12
  - sft
 
 
13
  ---
14
 
15
+ # Uploaded model
16
 
 
 
17
  - **Developed by:** Agnuxo
18
  - **License:** apache-2.0
19
+ - **Finetuned from model :** unsloth/qwen2.5-3b-instruct-bnb-4bit
20
 
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  This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
22
 
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  [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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