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--- |
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language: ["zh", "en"] |
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tags: ["conversational", "chat", "chatglm3", "fine-tuning"] |
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license: "unknown" |
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base_model: "THUDM/chatglm3-6b" |
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model_index: |
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name: "ChatGLM3-Based-Conversational-Model" |
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results: |
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task: "text-generation" |
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name: "Conversational AI" |
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datasets: ["custom-dataset"] |
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pipeline_tag: "conversational" |
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--- |
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# Model Card |
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## Model Description |
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This model is a fine-tuned version of ChatGLM3-6B, designed for conversational AI applications. It uses a BERT-based embedding model for text representation. |
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[rest of the model card content remains the same...] |
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Model Card |
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Model Description |
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This model is a fine-tuned version of ChatGLM3-6B, designed for conversational AI applications. It uses a BERT-based embedding model for text representation. |
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Model Architecture |
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Base Model: ChatGLM3-6B |
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Embedding Model: BERT-based architecture (BertForMaskedLM) |
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Type: Conversational AI |
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Language: Chinese (presumably, based on ChatGLM3's primary language support) |
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Input & Output |
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Input: Text (conversation/dialogue format) |
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Output: Text (conversational responses) |
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Uses |
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Primary Intended Uses |
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Conversational AI applications |
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Text-based dialogue systems |
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Out-of-Scope Uses |
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Not intended for production deployment without proper evaluation |
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Not recommended for critical decision-making systems |
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Not suitable for medical, legal, or financial advice |
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Training Data |
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The model has been trained on custom datasets. Due to the proprietary nature of the training data, specific details are not publicly available. |
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Training Process |
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Base Model: ChatGLM3-6B |
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Fine-tuning: Custom dataset |
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Embedding: BERT-based model |
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Performance and Limitations |
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Performance Metrics |
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Performance metrics are not currently available. Users should conduct their own evaluation based on their specific use cases. |
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Limitations |
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The model's performance characteristics have not been thoroughly evaluated |
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May inherit biases from both ChatGLM3-6B and the custom training data |
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Should be used with appropriate content filtering and safety measures |
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Recommendations |
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Suggested Uses |
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Testing and development environments |
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Non-critical conversational applications |
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Research and experimentation |
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Technical Requirements |
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Compatible with ChatGLM3-6B system requirements |
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Requires appropriate GPU resources for inference |
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Ethical Considerations |
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Users should be aware that: |
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The model may produce unexpected or biased outputs |
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Output should be monitored and filtered for inappropriate content |
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The model should not be used for making critical decisions affecting human welfare |
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Future Work |
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Suggested areas for improvement: |
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Comprehensive performance evaluation |
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Documentation of specific use cases and limitations |
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Development of safety guidelines |
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Collection of user feedback for improvement |
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Citation and License |
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License information is not specified. Users should consult with the model creators regarding usage rights and restrictions. |
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Note: This model card is based on limited available information and should be updated as more details become available. |
