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@@ -11,6 +11,8 @@ The final checkpoint of `sarvam-2b` will be released soon, and it will be traine
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  The current checkpoint has not undergone any post-training. You can see the capabilities of the current checkpoint in [this video](https://www.youtube.com/watch?v=DFtAS1BCKvk).
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  Getting started:
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  ```
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  from transformers import pipeline
@@ -39,7 +41,4 @@ Here is a comparison of fertility scores between `sarvam-2b` and other popular m
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  |tel_Telu|2.14 |13.3 |4.57 |3.06 |
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  |**Average** |**2.08** |**9.34** |**4.01** |**3.00** |
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- This model is trained on the NeMo stack on Nvidia H100s on the Yotta data center.
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  More technical details like evaluations and benchmarking will be posted soon.
 
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  The current checkpoint has not undergone any post-training. You can see the capabilities of the current checkpoint in [this video](https://www.youtube.com/watch?v=DFtAS1BCKvk).
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+ The model was trained with NVIDIA NeMo™ Framework on the Yotta Shakti Cloud using HGX H100 systems.
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+
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  Getting started:
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  ```
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  from transformers import pipeline
 
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  |tel_Telu|2.14 |13.3 |4.57 |3.06 |
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  |**Average** |**2.08** |**9.34** |**4.01** |**3.00** |
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  More technical details like evaluations and benchmarking will be posted soon.