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Create app.py

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  1. app.py +32 -0
app.py ADDED
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+ #https://huggingface.co/TheBloke/starchat-beta-GPTQ
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+
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+ from transformers import AutoTokenizer, pipeline, logging
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+ from auto_gptq import AutoGPTQForCausalLM, BaseQuantizeConfig
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+ import argparse
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+
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+ model_name_or_path = "TheBloke/starchat-beta-GPTQ"
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+ # Or to load it locally, pass the local download path
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+ # model_name_or_path = "/path/to/models/The_Bloke_starchat-beta-GPTQ"
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+
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+ use_triton = False
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, use_fast=True)
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+
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+ model = AutoGPTQForCausalLM.from_quantized(model_name_or_path,
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+ use_safetensors=True,
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+ #device="cuda:0",
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+ use_triton=use_triton,
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+ quantize_config=None)
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+
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+ # Prevent printing spurious transformers error when using pipeline with AutoGPTQ
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+ logging.set_verbosity(logging.CRITICAL)
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+
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+ pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
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+
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+ prompt_template = "<|system|>\n<|end|>\n<|user|>\n{query}<|end|>\n<|assistant|>"
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+ prompt = prompt_template.format(query="How do I sort a list in Python?")
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+ # We use a special <|end|> token with ID 49155 to denote ends of a turn
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+ outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.2, top_k=50, top_p=0.95, eos_token_id=49155)
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+ # You can sort a list in Python by using the sort() method. Here's an example:\n\n```\nnumbers = [3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5]\nnumbers.sort()\nprint(numbers)\n```\n\nThis will sort the list in place and print the sorted list.
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+ print(outputs[0]['generated_text'])
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+