Unixcoder Base
Microsoft's Unixcoder Base is a unified cross-modal pre-trained model that leverages multimodal data to pretrain code representation, particularly exceling at tasks such as code search, code completion, and code summarization. Its architecture is based on the RoBERTa model, indicating a robust foundation for natural language processing.
Input
Output
Context
1K
Max Output
0K
Parameters
110M
Technical Specifications
Model TypeEmbedding
Context Window512 tokens
Max Output Tokens128 tokens
Parameters110M
Release DateMar 23, 2022
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
Text
Output Modalities
Embedding
Capabilities
Resources & Links
Estimated GPU Requirements for Unixcoder Base
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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