---
language: ["zh", "en"]
tags: ["conversational", "chat", "chatglm3", "fine-tuning"]
license: "unknown"
base_model: "THUDM/chatglm3-6b"
model_index:
  name: "ChatGLM3-Based-Conversational-Model"
  results:
    task: "text-generation"
    name: "Conversational AI"
datasets: ["custom-dataset"]
pipeline_tag: "conversational"
---

# Model Card

## Model Description

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.

[rest of the model card content remains the same...]




Model Card
Model Description
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.
Model Architecture

Base Model: ChatGLM3-6B
Embedding Model: BERT-based architecture (BertForMaskedLM)
Type: Conversational AI
Language: Chinese (presumably, based on ChatGLM3's primary language support)

Input & Output

Input: Text (conversation/dialogue format)
Output: Text (conversational responses)

Uses
Primary Intended Uses

Conversational AI applications
Text-based dialogue systems

Out-of-Scope Uses

Not intended for production deployment without proper evaluation
Not recommended for critical decision-making systems
Not suitable for medical, legal, or financial advice

Training Data
The model has been trained on custom datasets. Due to the proprietary nature of the training data, specific details are not publicly available.
Training Process

Base Model: ChatGLM3-6B
Fine-tuning: Custom dataset
Embedding: BERT-based model

Performance and Limitations
Performance Metrics
Performance metrics are not currently available. Users should conduct their own evaluation based on their specific use cases.
Limitations

The model's performance characteristics have not been thoroughly evaluated
May inherit biases from both ChatGLM3-6B and the custom training data
Should be used with appropriate content filtering and safety measures

Recommendations
Suggested Uses

Testing and development environments
Non-critical conversational applications
Research and experimentation

Technical Requirements

Compatible with ChatGLM3-6B system requirements
Requires appropriate GPU resources for inference

Ethical Considerations
Users should be aware that:

The model may produce unexpected or biased outputs
Output should be monitored and filtered for inappropriate content
The model should not be used for making critical decisions affecting human welfare

Future Work
Suggested areas for improvement:

Comprehensive performance evaluation
Documentation of specific use cases and limitations
Development of safety guidelines
Collection of user feedback for improvement

Citation and License
License information is not specified. Users should consult with the model creators regarding usage rights and restrictions.

Note: This model card is based on limited available information and should be updated as more details become available.