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sapkotapraful
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sapkotapraful
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This model is a fine-tuned version of Gemma 4 trained for retrieval and reranking tasks. Given a search query and a collection of candidate passages, the model selects and returns the most relevant passage from the provided corpus.
The model was fine-tuned using Unsloth and Hugging Face's TRL library for efficient training.
The model was trained on chat-formatted examples:
python
[ {"role": "system", "content": "<|GET|>"}, { "role": "user", "content": { "query": "most dependable affordable cars", "corpus": [ "Document 1...", "Document 2...", "If you can look past its bargain interior and anonymous exterior, the Suzuki SX4 is one of the most reliable and affordable all-wheel-drive cars." ] } }]The model returns the most relevant passage from the corpus:
text
If you can look past its bargain interior and anonymous exterior, the Suzuki SX4 is one of the most reliable and affordable all-wheel-drive cars.This model was fine-tuned using Unsloth for fast and memory-efficient training.