bggpt-mntp

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A Mistral model suitable for language modeling in Bulgarian via Masked Next Token Prediction. This is the result of the first fine-tuning stage when applying the llm2vec procedure on BgGPT.

Model Details

Model Description

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This is the result of the first step of applying llm2vec on BgGPT using Wikipedia data for fine-tuning.

• Developed by: Martin Boyanov
• Model type: Mistral Bidirectional
• Language(s) (NLP): Bulgarian + English
• License: [More Information Needed]
• Finetuned from model [optional]: INSAIT-Institute/BgGPT-7B-Instruct-v0.2

Model Sources [optional]

• Repository: https://github.com/mboyanov/bg2vec/tree/master

Uses

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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

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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

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Training Details

Training Data

Bulgarian Wikipedia

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 -->

Speeds, Sizes, Times [optional]

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Evaluation

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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

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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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Glossary [optional]

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Model Card Authors [optional]

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