d-llm
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vinallama-2.7b-chat-orpo

@@ -11,189 +11,17 @@ tags: []
 ## Model Details
-### Model Description
-<!-- Provide a longer summary of what this model is. -->
 This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-- **Developed by:** [More Information Needed]
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-## Uses
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-### Direct Use
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-## Bias, Risks, and Limitations
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-### Recommendations
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-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-## How to Get Started with the Model
-Use the code below to get started with the model.
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-## Training Details
-### Training Data
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-### Training Procedure
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-#### Preprocessing [optional]
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-#### Training Hyperparameters
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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-## Evaluation
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-#### Factors
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-### Results
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-#### Summary
-## Model Examination [optional]
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-## Environmental Impact
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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-## Technical Specifications [optional]
-### Model Architecture and Objective
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-### Compute Infrastructure
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-## Citation [optional]
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-## Glossary [optional]
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-## More Information [optional]
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-## Model Card Authors [optional]
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 ## Model Card Contact
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 ## Model Details
+### Vinallama 2.7B Model for Harmful Information Refusal
+This project involves training the Vinallama 2.7B model to effectively refuse to provide harmful or sensitive information. By fine-tuning the model on specific datasets, we aim to enhance its ability to identify and reject potentially dangerous content, ensuring safer interactions and protecting users from misinformation and malicious content.
 This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+- **Developed by:** Duong Trong Chi
+- **Language(s) (NLP):** VietNam
+- **Finetuned from model [optional]:** Vinallama-2.7b-chat
 ## Model Card Contact
+**My email:** [email protected]