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README.md
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@@ -6,33 +6,7 @@ This model was fine tuned to allow it to follow direction and is a steeping ston
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# How to use
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You will need the transformers>=4.31
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "AIGym/TinyLlama-1.1B-2.5T-chat"
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tokenizer = AutoTokenizer.from_pretrained(model)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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prompt = "What are the values in open source projects?"
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formatted_prompt = (
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f"### Human: {prompt}### Assistant:"
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)
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sequences = pipeline(
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formatted_prompt,
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do_sample=True,
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top_k=50,
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top_p = 0.7,
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num_return_sequences=1,
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repetition_penalty=1.1,
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max_new_tokens=500,
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)
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for seq in sequences:
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print(f"Result: {seq['generated_text']}")
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```
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# Referrals
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# How to use
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You will need the transformers>=4.31
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Use your normal llama prompt templete
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```
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# Referrals
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