rbelanec/train_qqp_42_1779207273
TEXT GENERATIONConcurrency Cost:1Model Size:1BQuant:BF16Ctx Length:32kPublished:May 19, 2026License:llama3.2Architecture:Transformer Warm
The rbelanec/train_qqp_42_1779207273 model is a 1 billion parameter language model fine-tuned by rbelanec, based on meta-llama/Llama-3.2-1B-Instruct. It was specifically trained on the qqp dataset for 5 epochs, achieving a validation loss of 0.1128. This model is optimized for tasks related to question pair classification, making it suitable for identifying semantic equivalence between questions.
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Overview
This model, rbelanec/train_qqp_42_1779207273, is a 1 billion parameter language model derived from the meta-llama/Llama-3.2-1B-Instruct architecture. It has been specifically fine-tuned on the qqp dataset (Quora Question Pairs) over 5 epochs, demonstrating a validation loss of 0.1128.
Key Capabilities
- Question Pair Classification: Excels at determining if two questions are semantically equivalent.
- Efficient for Specific Tasks: Its smaller parameter count (1B) makes it suitable for deployment in resource-constrained environments where specialized question analysis is needed.
Good for
- Identifying duplicate questions in forums or support systems.
- Improving search relevance by grouping similar queries.
- Applications requiring lightweight, specialized models for natural language understanding of question similarity.