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Schreiber Mistral Nemo 12B
Schreiber-mistral-nemo-12B is a large language model fine-tuned based on mistral-nemo-kartoffel-12B, focusing on providing more powerful and accurate language processing capabilities.
Downloads 107
Release Time : 6/6/2025
Model Overview
This model has been fine-tuned on multiple datasets and can handle complex language tasks, suitable for application scenarios such as text generation and dialogue systems.
Model Features
Multi-dataset Fine-tuning
Fine-tuning on multiple high-quality datasets improves the model's generalization ability and accuracy.
ORPO Tuning
Using the ORPO method for tuning optimizes the model's performance.
QLoRA Configuration
Adopting QLoRA technology for efficient fine-tuning reduces the computational resource requirements.
Model Capabilities
Text Generation
Language Understanding
Dialogue System
Use Cases
Text Generation
Novel Writing
Use the model to generate high-quality novel texts.
Generate smooth and coherent storylines.
Content Summarization
Generate summaries for long texts.
Generate concise and accurate summary content.
Dialogue System
Intelligent Customer Service
Used to build an intelligent customer service system to answer user questions.
Provide accurate and natural answers.
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