Pawan Bhakuni

> I see, but internally hf module internally uses AutoModel module to instantiate weights. So can you explain me why we require to use already loaded model to dspy instead...

[dspy_4bitquantized_llama2_error.zip](https://github.com/stanfordnlp/dspy/files/15305279/dspy_4bitquantized_llama2_error.zip) I have attached the jupyter notebook. In this notebook when I am converting the quantized model then it searches for the config.json as I am giving the AutoModel variable...

Language: Hindi Dataset:(https://github.com/google-deepmind/xquad/blob/master/xquad.hi.json) Please tell me in detail what activities to be done to contribute.

@Anindyadeep thanks a lot for the detailed help but i feel that i have missed the documentation details. nit signature: dspy.HFModel( model: str, checkpoint: Optional[str] = None, is_client: bool =...

As per the previous comment i think the issue can be closed