nroggendorff
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Update README.md
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README.md
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@@ -38,6 +38,33 @@ response = pipe(conv, max_new_tokens=2048)[0]['generated_text'][-1]['content']
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print(response)
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```
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## License
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This project is licensed under the MIT License.
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print(response)
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```
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To use the model with quantization:
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
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import torch
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bnb_config = BitsAndBytesConfig(
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load_in_4bit=True,
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bnb_4bit_use_double_quant=True,
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bnb_4bit_quant_type="nf4",
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bnb_4bit_compute_dtype=torch.bfloat16
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)
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model_id = "nroggendorff/mayo"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=bnb_config)
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prompt = "<|user|>What color is the sky?</s>"
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=10)
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generated_text = tokenizer.batch_decode(outputs)[0]
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print(generated_text)
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```
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## License
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This project is licensed under the MIT License.
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