pplx embed context v1 4B
A 4B-parameter contextual text embedding model built on diffusion-pretrained Qwen3, designed for RAG pipelines where document chunks benefit from surrounding context. Produces 2560-dimensional INT8/BINARY-quantized embeddings with a 32K context window and MRL support. No instruction prefixes required. MIT-licensed with open weights.
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- Text
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- Open
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- Pipeline
- feature extraction
- License
- mit
Model hub
perplexity-ai/pplx-embed-context-v1-4b
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- perplexity-ai/pplx-embed-context-v1-4b
- Library
- transformers
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Papers
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About Perplexity
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Perplexity provides an AI-powered answer engine that generates conversational responses supported by cited web sources.