hivaze/Mistral-7B-v0.1-daily_dialog

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)
• Funded by [optional]: [More Information Needed]
• Shared by [optional]: [More Information Needed]
• Model type: GPT
• Language(s) (NLP): [More Information Needed]
• License: [More Information Needed]
• 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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Downstream Use [optional]

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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

Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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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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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

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Training procedure

Framework versions

• PEFT 0.6.2