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This model was quantized and pruned with [SparseGPT](https://arxiv.org/abs/2301.00774), using [SparseML](https://github.com/neuralmagic/sparseml). |
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```python |
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import torch |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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model_id = "nm-testing/OpenHermes-2.5-Mistral-7B-pruned50" |
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model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", torch_dtype=torch.float16) |
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tokenizer = AutoTokenizer.from_pretrained(model_id) |
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inputs = tokenizer("Hello my name is", return_tensors="pt") |
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outputs = model.generate(**inputs, max_new_tokens=20) |
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print(tokenizer.batch_decode(outputs)[0]) |
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""" |
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<s> Hello my name is Katie and I am a student at the University of Gloucestershire. I am currently studying |
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""" |
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``` |