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README.md
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---
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{}
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---
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# DeepCode-7B-Aurora-v10
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DeepCode-7B-Aurora-v10 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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## 🧩 Configuration
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```yaml
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models:
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- model: DeepCode-7B-Aurora-v7
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- model: DeepCode-7B-Aurora-v7
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- model: DeepCode-7B-Aurora-v7
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- model: DeepCode-7B-Aurora-v7
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- model: DeepCode-7B-Aurora-v7
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- model: DeepCode-7B-Aurora-v7
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- model: DeepCode-7B-Aurora-v7
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merge_method: model_stock
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base_model: DeepCode-7B-Aurora-v7
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dtype: float16
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```
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## 💻 Usage
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```python
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os.system(f"pip install -qU transformers accelerate")
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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 = "ALBADDAWI/DeepCode-7B-Aurora-v10"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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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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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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