Model Card for Model ID
LoRA 32r adapter for Mistral finetuned with dialog turn-based prompt on daily_dialog dataset.
Model Details
Model Description
LoRA 32r adapter with custom tokenizer config for Mistral finetuned with dialog turn-based prompt on daily_dialog dataset.
- Developed by: Sergey Bratchikov (hivaze)
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- Model type: GPT
- Language(s) (NLP): [More Information Needed]
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- Finetuned from model [optional]: mistralai/Mistral-7B-v0.1
Model Sources [optional]
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Uses
Can be used only as simple dialog and chit-chatting model.
Direct Use
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
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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Training Hyperparameters
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Evaluation
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Results
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Summary
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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Technical Specifications [optional]
Model Architecture and Objective
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Training procedure
Framework versions
- PEFT 0.6.2
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