|
--- |
|
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. --> |
|
|
|
[ |
|
|
|
### Downstream Use |
|
|
|
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
|
|
|
[ |
|
|
|
### Out-of-Scope Use |
|
|
|
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
|
|
|
[ |
|
|
|
## Bias, Risks, and Limitations |
|
|
|
<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
|
|
|
[ |
|
|
|
### 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. --> |
|
|
|
[ |
|
|
|
### 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 |
|
|
|
[ |
|
|
|
|
|
#### 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. --> |
|
|
|
[ |
|
|
|
## 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. --> |
|
|
|
[ |
|
|
|
#### Factors |
|
|
|
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
|
|
|
[ |
|
|
|
#### Metrics |
|
|
|
<!-- These are the evaluation metrics being used, ideally with a description of why. --> |
|
|
|
[ |
|
|
|
### Results |
|
|
|
[ |
|
#### Summary |
|
|
|
|
|
|
|
## Model Examination |
|
|
|
<!-- Relevant interpretability work for the model goes here --> |
|
|
|
[ |
|
|
|
## 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 |
|
|
|
. |
|
|
|
#### Hardware |
|
|
|
[ |
|
|
|
#### Software |
|
|
|
[ |
|
|
|
## 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:** |
|
|
|
[ |
|
|
|
**APA:** |
|
|
|
[ |
|
|
|
## Glossary |
|
|
|
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
|
|
|
[ |
|
|
|
## More Information |
|
|
|
[ |
|
|
|
## Model Card Authors |
|
|
|
[ |
|
|
|
## Model Card Contact |
|
|
|
[ |
