README.md

---
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

<!-- Provide a quick summary of what the model is/does. -->

This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->



- **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 

<!-- Provide the basic links for the model. -->

- **Repository:**
- **Paper:** 
- **Demo:** 

## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->

### Direct Use

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->

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### Downstream Use 

<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->

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### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->

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## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

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### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

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

<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->

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### Training Procedure

<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->

#### Preprocessing 

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#### Training Hyperparameters

- **Training regime:** [ <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

#### Speeds, Sizes, Times 

<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->

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## Evaluation

<!-- This section describes the evaluation protocols and provides the results. -->

### Testing Data, Factors & Metrics

#### Testing Data

<!-- This should link to a Dataset Card if possible. -->

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#### Factors

<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->

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#### Metrics

<!-- These are the evaluation metrics being used, ideally with a description of why. -->

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### Results

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#### Summary



## Model Examination 

<!-- Relevant interpretability work for the model goes here -->

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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).

- **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 

<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

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**APA:**

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## Glossary 

<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->

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## More Information 

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## Model Card Authors 

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## Model Card Contact

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