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metadata
license: afl-3.0
datasets:
  - openai/MMMLU
  - argilla/FinePersonas-v0.1
  - HuggingFaceFV/finevideo
  - google/frames-benchmark
  - LLM360/TxT360
language:
  - bn
  - en
metrics:
  - accuracy
  - code_eval
  - charcut_mt
base_model:
  - meta-llama/Llama-3.1-8B-Instruct
new_version: black-forest-labs/FLUX.1-dev

Model Card for Model ID

This modelcard aims to be a base template for new models. It has been generated using this raw template.

Model Details

Model Description

  • Developed by: Md Safwan Abdullah
  • Funded by: TechTitans
  • Shared by:
  • Model type: Black.forest.labs/flux.1-dev
  • Language(s) (NLP): Bangla and English
  • License: license: afl-3.0
  • Finetuned from model : LLM Models Used- meta-11ama\Lama3.1

Model Sources

  • Repository:
  • Paper:
  • Demo:

Uses

Direct Use

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Downstream 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.

How to Get Started with the Model

Just start chatting.

Training Details

Training Data

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Training Procedure

Preprocessing

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Training Hyperparameters

  • Training regime: [

Speeds, Sizes, Times

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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

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: All
  • Hours used:
  • Cloud Provider:
  • Compute Region:
  • Carbon Emitted:

Technical Specifications

Model Architecture and Objective

First Ai Made By in Bangla Language, By a Bangladeshi, For All.

Compute Infrastructure

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Hardware

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Software

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Citation

BibTeX:

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APA:

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Glossary

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More Information

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Model Card Authors

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Model Card Contact

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