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divyanshukunwar/SASTRI_1_9B_GGUF
SASTRI_1_9B_GGUF is a machine learning model from divyanshukunwar. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This is GGUF version of the model. SASTRI19B is a new model fine tuned for bhojpuri & hindi languages. More detail about the dataset used and evaluation will be shared soon. Model trained on similar languages can be a…
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From the Hugging Face model README
This is GGUF version of the model. SASTRI_1_9B is a new model fine tuned for bhojpuri & hindi languages. More detail about the dataset used and evaluation will be shared soon. Model trained on similar languages can be adapted for a very low resource language.
Let's see what model has to say about itself.
You can also download the original safetensor version from : https://huggingface.co/divyanshukunwar/SASTRI_1_9B
User : Tell me about yourself
Assistant : Hi there! I am SASTRI, an AI assistant designed to help you with various tasks and answer questions as best as my programming allows.
As a large language model, I don't have personal feelings or emotions like humans do but rest assured that I am here to assist you with anything within my capabilities!
User : aap or kon kon si bhaasa me likh skte hai ?
Assistant : मैं कई भाषाओं को समझता हूँ और उनमें बातचीत कर सकता हूँ, हिंदी में लिखने के अलावा मैं अंग्रेजी और भोजपुरी भी जानता हूं। 🇮🇳
Evaluation Result for English Language
| Dataset | Metric | Score |
|---|---|---|
| Arc-Easy | Accuracy | 94.2 |
| Arc-Challenge | Accuracy | 86.1 |
| MMLU | Accuracy | 61.0 |
| BoolQ | Accuracy | 79.04 |
Evaluation Result for Hindi Language
| Dataset | Metric | Score |
|---|---|---|
| Arc-Easy | Accuracy | 80.2 |
| Arc-Challenge | Accuracy | 68.35 |
| MMLU | Accuracy | 43.11 |
| BoolQ | Accuracy | 71.61 |
Evaluation Result for Bhojpuri Language coming soon ..
Model may show undersired behavior such as hallucinations and unintended biases use it at your own risk. This model is not optimized for user preference. This model is released as a part of study for Large Language model for very low resource languages.
| Comparison with other Indic models on English Evaluation Benchmark | Comparison with other models on Hindi Evaluation Benchmark |
|---|---|
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