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license: apache-2.0 |
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language: |
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- en |
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# **Introduction** |
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We introduce luxia-21.4b-alignment-v1.0, an instruction-tuned and alignment model based on luxia-21.4b. |
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Please refer to the evaluation results table for details. |
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# **Instruction Fine-tuning Strategy** |
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We utilize state-of-the-art instruction fine-tuning methods including supervised fine-tuning (SFT) and direct preference optimization (DPO) |
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# **Data Contamination Test Results** |
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Results will be updated soon. |
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# **Evaluation Results** |
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Results will be updated soon. |
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# **Usage Instructions** |
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### **How to use** |
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```python |
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# pip install transformers==4.35.2 |
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import torch |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("saltlux/luxia-21.4b-alignment-v0.1") |
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model = AutoModelForCausalLM.from_pretrained( |
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"saltlux/luxia-21.4b-alignment-v0.1", |
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device_map="auto", |
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torch_dtype=torch.float16, |
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) |
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``` |
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### **License** |
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- [saltlux/luxia-21.4b-alignment-v1.0](https://huggingface.co/saltlux/luxia-21.4b-alignment-v1.0): apache-2.0 |
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### **Contact Us** ### |
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Any questions and suggestions are welcomed at the discussion tab. |
