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--- |
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license: apache-2.0 |
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datasets: |
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- mosaicml/dolly_hhrlhf |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: text-generation |
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--- |
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# OPEN-LLAMA-300btkn-instruction-following-v1 |
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``` |
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import os |
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import torch |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model_name = 'VMware/open-llama-300btkn-instruction-following-v1' |
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model_path = '/home/gollapudit/peft/open_lm_m_dolly_hhrlf' |
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tokenizer = AutoTokenizer.from_pretrained(model_name, add_bos_token = True) |
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model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype= torch.bfloat16, device_map = 'auto') |
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prompt_template = "Below is an instruction that describes a task. Write a descriptive response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Response:" |
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prompt= 'how do I bake a cake?' |
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inputt = prompt_template.format(instruction= prompt) |
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input_ids = tokenizer(inputt, return_tensors="pt").input_ids.to("cuda") |
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output1 = model.generate(input_ids, max_length=512) |
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input_length = input_ids.shape[1] |
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output1 = output1[:, input_length:] |
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output= tokenizer.decode(output1[0]) |
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print(output) |
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''' |
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Baking a cake is a simple process. You will need to prepare a cake mixture, then bake it in the oven. You can add various ingredients to the cake mixture, such as fruit, nuts, or spices, to make it flavorful. Baking a cake can be fun, as it creates a delicious dessert!</s> |
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''' |
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``` |
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