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README.md
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license: apache-2.0
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---
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license: apache-2.0
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```py
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#https://huggingface.co/docs/peft/quicktour
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from peft import AutoPeftModelForCausalLM
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from transformers import AutoTokenizer
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import torch
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model = AutoPeftModelForCausalLM.from_pretrained("Sentdex/Walls1337bot-Llama2-7B-003.004.400")
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tokenizer = AutoTokenizer.from_pretrained("NousResearch/Llama-2-7b-chat-hf")
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model = model.to("cuda")
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model.eval()
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formatted_prompt = f"### BEGIN CONVERSATION ###\n\n## Speaker_0: ##\n{prompt}\n\n## Walls1337bot: ##\n"
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inputs = tokenizer(formatted_prompt, return_tensors="pt")
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outputs = model.generate(input_ids=inputs["input_ids"].to("cuda"), max_new_tokens=128)
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text_output =
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print(tokenizer.batch_decode(outputs.detach().cpu().numpy(), skip_special_tokens=True)[0])
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```
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