MODEL PROFILE

splade-pt-br

AxelPCG · splade-pt-br

SPLADE (Sparse Lexical AnD Expansion) model fine-tuned for **Portuguese** text retrieval. Based on BERTimbau and trained on Portuguese question-answering datasets. SPLADE is a neural retrieval model that learns to expand queries and documents with contextually relevant terms while maintaining sparsity. Unlike dense retrievers, SPLADE produces sparse vectors (typically ~99% sparse) that are: - **Interpretable**: Each dimension corresponds to a vocabulary token - **Efficient**: Can use inverted indexes for fast retrieval - **Effective**: Combines lexical matching with semantic expansion - **Base Model**: `neuralmind/bert-base-portuguese-cased` (BERTimbau) - **Vocabulary Size**: 29,794 tokens (Portuguese-optimized) - **Training Iterations**: 150,000 - **Final Training Loss**: 0.000047 - **Sparsity**: ~99.5% (100-150 active dimensions per vector) - **Max Sequence Length**: 256 tokens

Text generationlicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsOpen weights
Profile updated2026/11/2 19:16:07
OVERVIEW

Model overview

SPLADE (Sparse Lexical AnD Expansion) model fine-tuned for **Portuguese** text retrieval. Based on BERTimbau and trained on Portuguese question-answering datasets. SPLADE is a neural retrieval model that learns to expand queries and documents with contextually relevant terms while maintaining sparsity. Unlike dense retrievers, SPLADE produces sparse vectors (typically ~99% sparse) that are: - **Interpretable**: Each dimension corresponds to a vocabulary token - **Efficient**: Can use inverted indexes for fast retrieval - **Effective**: Combines lexical matching with semantic expansion - **Base Model**: `neuralmind/bert-base-portuguese-cased` (BERTimbau) - **Vocabulary Size**: 29,794 tokens (Portuguese-optimized) - **Training Iterations**: 150,000 - **Final Training Loss**: 0.000047 - **Sparsity**: ~99.5% (100-150 active dimensions per vector) - **Max Sequence Length**: 256 tokens

Key features

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PRICING & COST

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。