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Mistral-7B-Instruct-v0.3-XSum-QLoRA – AI Model by BacemKarray | AlphaNeural AI
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Mistral-7B-Instruct-v0.3-XSum-QLoRA
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safetensors
summarization
EdinburghNLP/xsum
mistralai/Mistral-7B-Instruct-v0.3
finetune
mit
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Lightweight QLoRA adapter trained on the EdinburghNLP/XSum dataset for abstractive news summarization.
The adapter fine-tunes Mistral-7B-Instruct-v0.3 using ~50k training and 2k validation samples prepared via a summarization prompt.
Training used the following parameters: r=8, lora_alpha=16, lora_dropout=0.1, target_modules=["q_proj", "k_proj", "v_proj", "o_proj"]
Adapters can be merged into the base model for inference using PeftModel.merge_and_unload().
