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README.md
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license: mit
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---
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language:
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- en
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datasets:
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- kyujinpy/Open-platypus-Commercial
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library_name: transformers
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pipeline_tag: text-generation
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license: mit
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---
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# **phi-2-test**
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## Model Details
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**Model Developers**
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- field2437
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**Base Model**
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- microsoft/phi-2(https://huggingface.co/microsoft/phi-2)
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**Training Dataset**
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- kyujinpy/Open-platypus-Commercial(https://huggingface.co/datasets/kyujinpy/Open-platypus-Commercial)
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---
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# Model comparisons1
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---
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# Model comparisons2
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> AI-Harness evaluation; [link](https://github.com/EleutherAI/lm-evaluation-harness)
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| Model | Copa | HellaSwag | BoolQ | MMLU |
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| --- | --- | --- | --- | --- |
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| | 0-shot | 0-shot | 0-shot | 0-shot |
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| **field2437/phi-2-test** | 0.8900 | NaN | 0.5573 | NaN | 0.8260 | NaN | 0.5513 | NaN |
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---
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# Sample Code
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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torch.set_default_device("cuda")
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model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2", torch_dtype="auto", trust_remote_code=True)
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tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-2", trust_remote_code=True)
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inputs = tokenizer('''def print_prime(n):
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"""
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Print all primes between 1 and n
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"""''', return_tensors="pt", return_attention_mask=False)
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outputs = model.generate(**inputs, max_length=200)
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text = tokenizer.batch_decode(outputs)[0]
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print(text)
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```
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---
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