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Almanships
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Model Details
Model Provider
Almanships
Model Tree
unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Input Modalities
Output Modalities
Supported Functionality
Phi3-UrduInstruct is fine-tuned on a custom Urdu instruction dataset of 578 manually curated and verified examples. The model is designed to follow instructions in Urdu across multiple NLP tasks.
This work addresses the lack of instruction-tuned language models for Urdu, a low-resource language spoken by over 230 million people worldwide.
A custom dataset of 578 Urdu instruction-response pairs was created for this project, covering 6 task categories:
| Category | Examples |
|---|---|
| Translation (Urdu → English) | 105 |
| Grammar Correction | 100 |
| Question Answering | 100 |
| Text Summarization | 107 |
| Text Completion | 91 |
| Formal/Informal Conversion | 75 |
| Total | 578 |
All examples were manually written and verified by a native Urdu speaker to ensure linguistic quality and cultural accuracy.
| Parameter | Value |
|---|---|
| Base Model | Phi-3-mini-4k-instruct (4-bit) |
| Fine-tuning Method | LoRA (r=16, alpha=16) |
| Training Epochs | 3 |
| Learning Rate | 2e-4 |
| Training Loss | 1.37 → 0.47 |
| Framework | Unsloth + TRL |
| Hardware | Google Colab T4 GPU |
python
from unsloth import FastLanguageModel model, tokenizer = FastLanguageModel.from_pretrained( model_name = "Almanships/Phi3-UrduInstruct", max_seq_length = 2048, dtype = None, load_in_4bit = True,) FastLanguageModel.for_inference(model) messages = [ {"role": "user", "content": "اس جملے کا انگریزی میں ترجمہ کریں\nپاکستان ایک خوبصورت ملک ہے"}] inputs = tokenizer.apply_chat_template( messages, tokenize=True, add_generation_prompt=True, return_tensors="pt").to("cuda") outputs = model.generate(input_ids=inputs, max_new_tokens=128)print(tokenizer.decode(outputs[0], skip_special_tokens=True))Translation:
پاکستان ایک خوبصورت ملک ہےPakistan is a beautiful countryGrammar Correction:
وہ گیا بازار آجوہ آج بازار گیاQuestion Answering:
پاکستان کا دارالحکومت کون سا ہے؟پاکستان کا دارالحکومت اسلام آباد ہےIf you use this model, please cite:
text
@misc{phi3-urduinstruct-2026, author = {Almanships}, title = {Phi3-UrduInstruct: Instruction Tuning of Phi-3 for Urdu Language}, year = {2026}, publisher = {HuggingFace}, url = {https://huggingface.co/Almanships/Phi3-UrduInstruct}}from unsloth import FastLanguageModel model, tokenizer = FastLanguageModel.from_pretrained( model_name = "Almanships/Phi3-UrduInstruct", max_seq_length = 2048, dtype = None, load_in_4bit = True,) FastLanguageModel.for_inference(model) messages = [ {"role": "user", "content": "اس جملے کا انگریزی میں ترجمہ کریں\nپاکستان ایک خوبصورت ملک ہے"}] inputs = tokenizer.apply_chat_template( messages, tokenize=True, add_generation_prompt=True, return_tensors="pt").to("cuda") outputs = model.generate(input_ids=inputs, max_new_tokens=128)print(tokenizer.decode(outputs[0], skip_special_tokens=True))@misc{phi3-urduinstruct-2026, author = {Almanships}, title = {Phi3-UrduInstruct: Instruction Tuning of Phi-3 for Urdu Language}, year = {2026}, publisher = {HuggingFace}, url = {https://huggingface.co/Almanships/Phi3-UrduInstruct}}