Zubiiiiiii294/textbuddy

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Model Details

Model Description

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

• Developed by: [Zubair Arshad Raoter CEO of SafeGuard.AI]
• Funded by [optionl]: [Self-funded using 100% free and open-source resources ]
• Shared by [Zubair Arshad Raoter ]: [More Information Needed]
• Model type: [ (Text Generation) ]
• Language(s) (NLP): [ (English) ]
• License: [MIT]
• Finetuned from model [optional]: [distilGPT2 by Hugging Face ]

Model Sources [optional]

• Repository: [https://huggingface.co/Zubiiiiiii294/textbuddy]
• Paper [optional]: [No formal paper yet. This is an independent experimental build. ]
• Demo [optional]: [Demo under development. Will be shared soon.

]

Uses

Direct Use

[For learning how LLMs work

For generating text, stories, content ideas

For experimenting with text prompts

For research, education & testing small-scale NLP models

]

Downstream Use [optional]

[This model can be further fine-tuned for:

Chatbots

Educational writing assistants

Text-based games

Idea generation tools ]

Out-of-Scope Use

[Not recommended for sensitive content

Not for decision-making in medical, legal, or security domains

Not for multi-language tasks (supports English only) ]

Bias, Risks, and Limitations

[This model may reflect biases present in the Wikitext dataset

Text output may be inaccurate or incomplete

Doesn’t understand emotional or moral context

Doesn’t support multilingual tasks

Not suitable for commercial or mission-critical use (yet!) This model may reflect biases present in the Wikitext dataset

Text output may be inaccurate or incomplete

Doesn’t understand emotional or moral context

Doesn’t support multilingual tasks

Not suitable for commercial or mission-critical use (yet!) ]

Recommendations

Use in controlled environments (research, testing, education)

Don’t rely on its outputs as factual

Carefully evaluate before using in any product or service

Encourage transparency on limitations if shared publicly

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.

[from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "Zubiiiiiii294/textbuddy" tokenizer = AutoTokenizer.from_pretrained(model_name) model = AutoModelForCausalLM.from_pretrained(model_name)

prompt = "The future of AI in Pakistan is" inputs = tokenizer(prompt, return_tensors="pt") outputs = model.generate(**inputs, max_length=50) print(tokenizer.decode(outputs[0], skip_special_tokens=True)) ]

Training Details

Training Data

[Model size: 0.1B (117M parameters)

File size: ~328MB

Upload: Hugging Face model repo ]

Evaluation

Testing Data

Manual test prompts used during Colab testing

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[Focused on simple generation

No subpopulation or fairness breakdown]

Metrics

Results

[Model is functional and responsive

Good for basic prompt-based text generation

Excellent for learning & showcasing LLMs from Pakistan

]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

BibTeX:

[@misc{zubair2025textbuddy, title={TextBuddy: Pakistan’s 1st Open-Source Chat AI Model}, author={Zubair Arshad Raoter}, year={2025}, howpublished={\url{https://huggingface.co/Zubiiiiiii294/textbuddy}}, note={Self-trained via Colab} } ]

APA:

[Zubair Arshad Raoter. (2025). TextBuddy: Pakistan’s 1st Open-Source Chat AI Model. Hugging Face. Retrieved from https://huggingface.co/Zubiiiiiii294/textbuddy ]

Glossary [optional]

[LLM – Large Language Model

Tokenization – Breaking down sentences into model-readable pieces

Finetuning – Training a model from an existing base on a custom dataset

]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[Zubair Arshad Raoter – CEO, SafeGuard.AI

Contributor to: Youth AI Movement in Pakistan

Model inspired by ChatGPT & Grok logic

]

Model Card Contact

[Email: [[email protected]]

LinkedIn: www.linkedin.com/in/zubair-arshad-raoter-7b1210289

Location: Karachi, Pakistan ]