smile-small

SMILE for India!

Smile model nderstands the indian nunaces & give more accurate responses wrt. indian context

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:
• Funded by [optional]: https://github.com/ombhojane
• Model type: Quantized
• Language(s) (NLP): Python, Unsloth
• License: MIT
• Finetuned from model [optional]: Qwen/Qwen2.5-1.5B-Instruct

Model Sources [optional]

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• Repository: https://github.com/ombhojane/smile
• Paper [optional]: On it, buildin'
• Demo [optional]: https://smilecrm.vercel.app/

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<!-- from transformers import pipeline
import torch

messages = [
    {"role": "user", "content": "give indian tadka ingrediants"}
]

# Use the GPU if available
device = 0 if torch.cuda.is_available() else -1
pipe = pipeline("text-generation", model="ombhojane/smile-small", device=device)

# Generate longer output text
generated_text = pipe(messages, max_new_tokens=200, num_return_sequences=1)
print(generated_text)

generated_text[0]['generated_text'][1]['content']

-->

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Bias, Risks, and Limitations

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Parent model is equivalent to a SLM - might lags in some speacial areas

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

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Training Details

Training Data

https://huggingface.co/datasets/ombhojane/smile-india

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