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README.md
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---
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license: apache-2.0
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language:
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- hi
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- en
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- bh
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base_model:
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- google/gemma-2-9b
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library_name: transformers
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tags:
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- unsloth
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---
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SASTRI_1_9B is a new model fine tuned for hindi & bhojpuri languages.
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More detail about the dataset and evaluation result will be shared soon.
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Model trained on similar languages can be adapted for a language that is not officially supported.
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Let's see what model has to say about itself.
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You can also download the original safetensor version from : https://huggingface.co/divyanshukunwar/SASTRI_1_9B
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User : aap or kon kon si bhaasa me likh skte hai ?
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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। 🇮🇳
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```
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---
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license: apache-2.0
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language:
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- bh
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- hi
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- en
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base_model:
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- google/gemma-2-9b
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library_name: transformers
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---
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This is GGUF version of the model.
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SASTRI_1_9B is a new model fine tuned for bhojpuri & hindi languages.
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More detail about the dataset used and evaluation will be shared soon.
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Model trained on similar languages can be adapted for a very low resource language.
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Let's see what model has to say about itself.
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You can also download the original safetensor version from : https://huggingface.co/divyanshukunwar/SASTRI_1_9B
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User : aap or kon kon si bhaasa me likh skte hai ?
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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। 🇮🇳
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```
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Evaluation Result for English Language
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|Dataset| Metric | Score |
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|--------|---------|---------|
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|Arc-Easy| Accuracy | 94.2 |
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|Arc-Challenge| Accuracy | 86.1 |
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|MMLU| Accuracy | 61.0 |
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|BoolQ| Accuracy | 79.04 |
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Evaluation Result for Hindi Language
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|Dataset| Metric | Score |
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|--------|---------|---------|
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|Arc-Easy| Accuracy | 80.2 |
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|Arc-Challenge| Accuracy | 68.35 |
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|MMLU| Accuracy | 43.11 |
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|BoolQ| Accuracy | 71.61 |
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Evaluation Result for Bhojpuri Language coming soon ..
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Model may so undersired behavior such as hallucinations and unintended biases use it at your own risk.
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This model is not optimized for user preference.
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This model is released as a part of study for Large Language model for very low resource languages.
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