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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+phi-2 - bnb 4bits
+- Model creator: https://huggingface.co/susnato/
+- Original model: https://huggingface.co/susnato/phi-2/
+
+
+
+
+Original model description:
+---
+license: mit
+license_name: microsoft-research-license
+license_link: LICENSE
+---
+
+**DISCLAIMER**: I don't own the weights to this model, this is a property of Microsoft and taken from their official repository : [microsoft/phi-2](https://huggingface.co/microsoft/phi-2).
+The sole purpose of this repository is to use this model through the `transformers` API or to load and use the model using the HuggingFace `transformers` library.
+
+
+# Usage 
+
+First make sure you have the latest version of the `transformers` installed.
+
+```
+pip uninstall -y transformers && pip install git+https://github.com/huggingface/transformers
+```
+
+Then use the transformers library to load the model from the library itself
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("susnato/phi-2")
+tokenizer = AutoTokenizer.from_pretrained("susnato/phi-2")
+
+inputs = tokenizer('''def print_prime(n):
+   """
+   Print all primes between 1 and n
+   """''', return_tensors="pt", return_attention_mask=False)
+
+outputs = model.generate(**inputs, max_length=200)
+text = tokenizer.batch_decode(outputs)[0]
+print(text)
+
+```
+